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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">SAJIM</journal-id>
<journal-title-group>
<journal-title>South African Journal of Information Management</journal-title>
</journal-title-group>
<issn pub-type="ppub">2078-1865</issn>
<issn pub-type="epub">1560-683X</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">SAJIM-26-1847</article-id>
<article-id pub-id-type="doi">10.4102/sajim.v26i1.1847</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Emerging South African smart cities: Data security and privacy risks and challenges</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9485-7405</contrib-id>
<name>
<surname>Cornelius</surname>
<given-names>Francois P.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2433-7746</contrib-id>
<name>
<surname>Jansen van Rensburg</surname>
<given-names>Shandre K.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<aff id="AF0001"><label>1</label>Department of Criminology and Security Science, Faculty of Law, University of South Africa, Pretoria, South Africa</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Shandre Jansen van Rensburg, <email xlink:href="sissisk@unisa.ac.za">sissisk@unisa.ac.za</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>28</day><month>08</month><year>2024</year></pub-date>
<pub-date pub-type="collection"><year>2024</year></pub-date>
<volume>26</volume>
<issue>1</issue>
<elocation-id>1847</elocation-id>
<history>
<date date-type="received"><day>26</day><month>02</month><year>2024</year></date>
<date date-type="accepted"><day>24</day><month>06</month><year>2024</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024. The Authors</copyright-statement>
<copyright-year>2024</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>Smart cities leverage advanced technologies such as the Internet of Things (IoT), fifth generation (5G) networks, and data analytics to enhance citizens&#x2019; quality of life, focussing on creating efficient, functional, and eco-friendly urban environments. While these initiatives offer significant benefits, there are ongoing concerns about data security and privacy.</p>
</sec>
<sec id="st2">
<title>Objectives</title>
<p>This article investigates the data security and privacy risks and challenges in emerging South African smart cities. The objectives are to identify these risks, assess the effectiveness of current security measures, and contextualise these vulnerabilities within the South African and global contexts.</p>
</sec>
<sec id="st3">
<title>Method</title>
<p>A qualitative approach was adopted, involving virtual interviews with 20 Subject Matter Experts (SMEs) through purposive and snowball sampling. The raw data were thematically analysed, revealing significant themes.</p>
</sec>
<sec id="st4">
<title>Results</title>
<p>Emerging South African smart cities face several risks and challenges, including poor governance, a shortage of skills, a lack of awareness and training, insufficient funding, and a combination of these factors.</p>
</sec>
<sec id="st5">
<title>Conclusion</title>
<p>The research highlights the importance of safeguarding individuals&#x2019; data and privacy in the context of smart cities, advocating the need for proactive measures to address these concerns.</p>
</sec>
<sec id="st6">
<title>Contribution</title>
<p>This article promotes interdisciplinary dialogue, leading to more comprehensive solutions. In addition, exploring data security and privacy in emerging smart cities aids in understanding the implications of information management practices. Although the article focuses on emerging South African smart cities, the challenges discussed have global relevance.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cyberattacks</kwd>
<kwd>data breaches</kwd>
<kwd>data security and privacy risks</kwd>
<kwd>data security</kwd>
<kwd>emerging smart city</kwd>
<kwd>information security risks</kwd>
<kwd>information security</kwd>
<kwd>privacy</kwd>
<kwd>smart city</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding information</bold> This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>Smart cities are urban areas that leverage advanced technologies like the Internet of Things (IoT), 5th generation (5G) networks and data analytics to improve residents&#x2019; quality of life. These technologies are combined to streamline city operations, enhance public services, support sustainability and address urban issues. The main aim of smart cities is to develop more efficient, functional and eco-friendly urban environments (Allam <xref ref-type="bibr" rid="CIT0007">2021</xref>; Cunha <xref ref-type="bibr" rid="CIT0023">2021</xref>; Mashau &#x0026; Kroeze <xref ref-type="bibr" rid="CIT0067">2023</xref>; Vaidya et al. <xref ref-type="bibr" rid="CIT0110">2021</xref>). Despite its potential, scholars have expressed concerns about data security and privacy risks (Barlow &#x0026; Levy-Bencheton <xref ref-type="bibr" rid="CIT0016">2019</xref>; Fabr&#x00E8;gue &#x0026; Bogoni <xref ref-type="bibr" rid="CIT0030">2023</xref>; Ismagilova et al. <xref ref-type="bibr" rid="CIT0052">2019</xref>; Trapenberg Frick et al. <xref ref-type="bibr" rid="CIT0108">2021</xref>). These risks, evident in smart cities worldwide, encompass service delivery interruptions, financial implications, decreased public trust, compromised data integrity, privacy breaches and legal repercussions, ultimately hindering innovation (Braun et al. <xref ref-type="bibr" rid="CIT0019">2018</xref>; Cui et al. <xref ref-type="bibr" rid="CIT0022">2018</xref>; Rao &#x0026; Deebak <xref ref-type="bibr" rid="CIT0091">2023</xref>). Moreover, in the South African context, the relevance of smart cities is challenged in the face of significant socio-economic disparities (Balkaran <xref ref-type="bibr" rid="CIT0015">2019</xref>; Masiba <xref ref-type="bibr" rid="CIT0068">2023</xref>; Musakwa &#x0026; Mokoena <xref ref-type="bibr" rid="CIT0076">2017</xref>). Nevertheless, South Africa is actively pursuing smart city initiatives, as evidenced by numerous ongoing projects and new developments (Bouwer <xref ref-type="bibr" rid="CIT0017">2022</xref>; BusinessTech <xref ref-type="bibr" rid="CIT0020">2022</xref>).</p>
<p>The coronavirus disease 2019 (COVID-19) pandemic intensified reliance on IoT for daily activities, emphasising the necessity of digital connectivity for transforming cities into smart cities (Kaspersky <xref ref-type="bibr" rid="CIT0056">2020</xref>; KPMG <xref ref-type="bibr" rid="CIT0058">2020</xref>). However, the escalating volume of data in smart cities raises concerns about data security and privacy risks during collection, storage and analysis (Hassan et al. <xref ref-type="bibr" rid="CIT0041">2019</xref>; Ismagilova et al. <xref ref-type="bibr" rid="CIT0052">2019</xref>; Politou et al. <xref ref-type="bibr" rid="CIT0088">2022</xref>). As the digital landscape expands, cybersecurity risks, including cyberattacks, surge rapidly (Deloitte <xref ref-type="bibr" rid="CIT0025">2019</xref>, <xref ref-type="bibr" rid="CIT0026">2021</xref>; Neshenko et al. <xref ref-type="bibr" rid="CIT0079">2020</xref>; Silva, Khan &#x0026; Han <xref ref-type="bibr" rid="CIT0097">2018</xref>). South Africa has witnessed a significant rise in risks because of increased country-wide cyberattacks (Mcanyana, Brindley &#x0026; Seedat <xref ref-type="bibr" rid="CIT0070">2020</xref>). Further escalation in the scale and impact of data security and privacy risks were evident with the major TransUnion data breach in 2022, which compromised the personal information of 54 million consumers in South Africa (Moodley <xref ref-type="bibr" rid="CIT0073">2022</xref>).</p>
<p>International studies have explored data security and privacy risks in smart cities such as sustainability, vulnerabilities, risk management, prevention strategies, challenges and opportunities. In response to these challenges, continuous audits, assessments, regulatory reviews, standardised frameworks, advanced technologies and awareness and training programmes are implemented to mitigate these risks effectively (Farahat et al. <xref ref-type="bibr" rid="CIT0031">2021</xref>; Huda et al. <xref ref-type="bibr" rid="CIT0045">2024</xref>; Hussain <xref ref-type="bibr" rid="CIT0046">2024</xref>; Kitchin &#x0026; Dodge <xref ref-type="bibr" rid="CIT0057">2020</xref>; Paes et al. <xref ref-type="bibr" rid="CIT0082">2023</xref>; Sookhak et al. <xref ref-type="bibr" rid="CIT0098">2018</xref>; Xia, Semirumi &#x0026; Rezaei <xref ref-type="bibr" rid="CIT0115">2023</xref>). However, limited scientific studies have been conducted on data security and privacy risks linked to smart technology in emerging South African smart cities (Academy of Science of South Africa [ASSAf] <xref ref-type="bibr" rid="CIT0002">2019</xref>; Boyle <xref ref-type="bibr" rid="CIT0018">2020</xref>; Guya &#x0026; Wilson <xref ref-type="bibr" rid="CIT0039">2020</xref>; Murray <xref ref-type="bibr" rid="CIT0075">2020</xref>). As a result, this article explores the data security and privacy risks faced by emerging smart cities in South Africa. This will be realised by identifying data security and privacy risks in emerging smart cities, evaluating the effectiveness of existing security measures and placing these vulnerabilities within the broader contexts of South Africa and the global landscape.</p>
<p>The article introduces and contextualises data security and privacy risks in emerging South African smart cities. It then outlines the research methodology used. It concludes by discussing the key findings on the risks and challenges associated with data security and privacy in these smart cities.</p>
<sec id="s20002">
<title>Contextualising data security and privacy risks in smart cities</title>
<p>Smart city infrastructure integrates advanced technologies like IoT, 5G networks, artificial intelligence (AI) and cloud storage (Akhuseyinoglu &#x0026; Joshi <xref ref-type="bibr" rid="CIT0006">2020</xref>). This infrastructure encompasses physical components such as energy and transportation systems and digital technologies including AI, smart sensors and data analytics (Ahmad &#x0026; Mehmood <xref ref-type="bibr" rid="CIT0004">2020</xref>; Ferreira <xref ref-type="bibr" rid="CIT0034">2021</xref>). Smart cities employ various technologies and strategies to collect (sensors and IoT devices, smart meters, video surveillance, mobile applications), store (cloud and edge computing) and process large volumes of data about residents, infrastructure and services (big data analytics, AI, data integration platforms) (Gracias et al. <xref ref-type="bibr" rid="CIT0038">2023</xref>). Neshenko et al. (<xref ref-type="bibr" rid="CIT0079">2020</xref>) analysed 10 global smart cities to outline their architectural framework, defining five tiers: the physical world, enablers, data, applications and management layers.</p>
<p>The physical world tier of smart city architecture encompasses urban infrastructure, including office buildings, roads, buses and traffic lights (Neshenko et al. <xref ref-type="bibr" rid="CIT0079">2020</xref>). The enablers layer consists of hardware and communication technologies essential for collecting and transmitting data to subsequent architectural layers (Neshenko et al. <xref ref-type="bibr" rid="CIT0079">2020</xref>). However, Silva et al. (<xref ref-type="bibr" rid="CIT0097">2018</xref>) caution that smart city infrastructure faces significant risks because of the proliferation of data generated by hardware such as smart grids, smart sensors, information and communication technologies (ICT) systems, AI and broadband networks. Le-Dang and Le-Ngoc (<xref ref-type="bibr" rid="CIT0061">2018</xref>) warn that these risks may lead to system failures caused by cybercriminals executing data breaches and other forms of data manipulation. The data layer is a pivotal component of smart cities, serving as a central repository for vast amounts of structured, semi-structured and unstructured data collected from various sources (Ghandour, Elhoseny &#x0026; Hassanien <xref ref-type="bibr" rid="CIT0037">2019</xref>; Neshenko et al. <xref ref-type="bibr" rid="CIT0079">2020</xref>). According to Arfat et al. (<xref ref-type="bibr" rid="CIT0011">2020</xref>), these data hold significant value, and when coupled with AI and data analytics, play a crucial role in enhancing operational efficiency within smart cities. Neshenko et al. (<xref ref-type="bibr" rid="CIT0079">2020</xref>) further explain that the data layer facilitates data exchange among stakeholders through open data platforms (ODPs). Moreover, the applications layer enables smart cities to offer diverse solutions to residents and visitors alike. For instance, the MyCiTi App in Cape Town allows users to plan journeys using the city&#x2019;s public transport system (MyCiTi <xref ref-type="bibr" rid="CIT0077">2021</xref>), demonstrating how data-driven transportation systems can address congestion, pollution, parking management and road safety (Neshenko et al. <xref ref-type="bibr" rid="CIT0079">2020</xref>). At the management tier, smart cities focus on service delivery, asset management and overall security (Neshenko et al. <xref ref-type="bibr" rid="CIT0079">2020</xref>). Aqib et al. (<xref ref-type="bibr" rid="CIT0010">2020</xref>) emphasise that this tier also encompasses disaster and emergency management, addressing natural and man-made crises such as floods, hurricanes, earthquakes and terrorist attacks.</p>
<p>The threat landscape of smart cities includes exploratory threats, data manipulation, infrastructure sabotage and third-party vulnerabilities. &#x2018;Exploratory threats&#x2019; are attacks that target critical resources and personal credentials. &#x2018;Data manipulation&#x2019; are threats that compromise the confidentiality, integrity and availability of data within a network. &#x2018;Infrastructure sabotage&#x2019; involves threats intending to disrupt or gain control over smart city infrastructure using malicious software such as ransomware or malware. &#x2018;Third-party vulnerabilities&#x2019; refer to threats posed by malicious actors targeting third-party service providers crucial to smart city operations (Neshenko et al. <xref ref-type="bibr" rid="CIT0079">2020</xref>).</p>
<p>Privacy and security, along with the design, maintenance and implementation costs, are critical aspects of smart cities (Kasar &#x0026; Kshirsagar <xref ref-type="bibr" rid="CIT0055">2021</xref>). Limited studies have addressed data security and privacy risks associated with smart cities (Dhungana et al. <xref ref-type="bibr" rid="CIT0027">2015</xref>; Vitunskaite et al. <xref ref-type="bibr" rid="CIT0114">2019</xref>). Research indicates that privacy is easily compromised because of the high levels of interaction between people, devices and sensors, emphasising the need for enhanced data security and privacy mechanisms (Elmaghraby &#x0026; Losavio <xref ref-type="bibr" rid="CIT0028">2014</xref>; Picon <xref ref-type="bibr" rid="CIT0086">2019</xref>). Furthermore, smart cities process large volumes of sensitive and private data daily within their IoT ecosystems, attracting cybercriminals seeking to exploit this data (Ahmed et al. <xref ref-type="bibr" rid="CIT0005">2021</xref>; Azmoodeh, Dehghantanha &#x0026; Choo <xref ref-type="bibr" rid="CIT0012">2019</xref>; Magare, Dudhgaonkar &#x0026; Kondekar <xref ref-type="bibr" rid="CIT0064">2021</xref>). This raises significant concerns about data security related to transmission, storage and server protection (Teing et al. <xref ref-type="bibr" rid="CIT0106">2019</xref>). Cornelius (<xref ref-type="bibr" rid="CIT0021">2022</xref>) highlights concerns about cloud computing and storage, particularly the risk of data loss during communication between devices. According to Trapenberg Frick et al. (<xref ref-type="bibr" rid="CIT0108">2021</xref>), smart cities depend on intricate ICT networks and numerous IoT-connected devices to provide essential services, making them vulnerable to malicious actors online. Al-Turjman, Zahmatkesh and Shahroze (<xref ref-type="bibr" rid="CIT0009">2019</xref>) stress the need for smart cities to invest in robust methods to ensure data integrity during IoT device communications. Hassan et al. (<xref ref-type="bibr" rid="CIT0041">2019</xref>) highlight the risks associated with classified organisational information stored by third-party providers, which could be hacked or corrupted. Cui et al. (<xref ref-type="bibr" rid="CIT0022">2018</xref>) recommend implementing privacy protection, authentication, confidentiality and data availability measures using technologies like blockchain, cryptography, biometrics and machine learning to counter these threats.</p>
<p>Data analytics play a critical role in the decision-making processes of smart cities by tracking people and objects (Dhungana et al. <xref ref-type="bibr" rid="CIT0027">2015</xref>). However, the privacy of this data can be compromised if not properly secured (Politou et al. <xref ref-type="bibr" rid="CIT0088">2022</xref>; Vaidya et al. <xref ref-type="bibr" rid="CIT0110">2021</xref>). Privacy concerns in smart cities arise in areas such as employment, healthcare and home automation (Huang, Wang &#x0026; Yang <xref ref-type="bibr" rid="CIT0044">2017</xref>). Cornelius (<xref ref-type="bibr" rid="CIT0021">2022</xref>) warns that inadequate data security can lead to privacy breaches, identity theft and the selling of personal data or state secrets.</p>
<p>Local governments and emerging smart cities in South Africa handle and protect citizens&#x2019; personal information, healthcare records, educational data and other confidential information (Masombuka, Grobler &#x0026; Duvenage <xref ref-type="bibr" rid="CIT0069">2021</xref>; Research ICT Africa <xref ref-type="bibr" rid="CIT0092">2020</xref>). Additionally, private companies within smart cities collect large amounts of data on individuals for marketing purposes, posing privacy risks even from basic Internet searches (Lozada, Arias-P&#x00E9;rez &#x0026; Perdomo-Charry <xref ref-type="bibr" rid="CIT0062">2019</xref>; Vaidya et al. <xref ref-type="bibr" rid="CIT0110">2021</xref>).</p>
<p>The security of data transmission, retention and storage is crucial for ensuring privacy (Al-Turjman et al. <xref ref-type="bibr" rid="CIT0009">2019</xref>; Vaidya et al. <xref ref-type="bibr" rid="CIT0110">2021</xref>). Hammi et al. (<xref ref-type="bibr" rid="CIT0040">2017</xref>) emphasise that citizens will be reluctant to embrace IoT benefits if their privacy is threatened. IBM Security (<xref ref-type="bibr" rid="CIT0047">2021</xref>) cautions that breaches in data security and privacy could lead to significant financial losses and undermine trust in smart city institutions and organisations. Thus, research on data security and privacy risks associated with emerging smart cities is warranted.</p>
</sec>
<sec id="s20003">
<title>Research goal</title>
<p>The article examines data security and privacy risks and challenges in emerging South African smart cities. To achieve this aim, the article is guided by the following objectives: 1. To identify data security and privacy risks in emerging smart cities, 2. To assess the effectiveness of current security measures and 3. To contextualise these vulnerabilities within the context of the South African and global milieu. Thus, the article is premised on the following research question: What are the data security and privacy risks and related challenges in emerging South African smart cities?</p>
</sec>
</sec>
<sec id="s0004">
<title>Research methods and design</title>
<sec id="s20005">
<title>Design and procedures</title>
<p>A qualitative approach was employed to explore the main data security and privacy risks and challenges in emerging smart cities in South Africa. Utilising a qualitative methodology enhanced the depth of comprehension regarding the subject under investigation (Leavy <xref ref-type="bibr" rid="CIT0060">2023</xref>). The research investigation was exploratory as it ventured into a relatively novel issue with a limited understanding of the phenomenon in the South African context (Neuman <xref ref-type="bibr" rid="CIT0080">2020</xref>). This type of study produces descriptive and explanatory data that are not intended to be conclusive and requires a creative and open-minded approach (Hesse-Biber <xref ref-type="bibr" rid="CIT0042">2017</xref>). Therefore, a phenomenological research approach was employed to gain insights into perceptions, perspectives and experiences concerning data security and privacy within the context of emerging smart cities in South Africa (Schurink, Schurink &#x0026; Fouch&#x00E9; <xref ref-type="bibr" rid="CIT0094">2021</xref>). One-on-one interviews were conducted with 20 subject matter experts (SMEs) specialising in various domains associated with data security privacy risks in emerging South African smart cities. The research was informed and endorsed by the University of South Africa&#x2019;s (UNISA) Policy on Research Ethics (University of South Africa <xref ref-type="bibr" rid="CIT0109">2016</xref>:12), and ethical approval was subsequently obtained.</p>
</sec>
<sec id="s20006">
<title>Sample</title>
<p>Purposeful sampling was utilised to obtain a comprehensive understanding of the phenomenon as perceived by the selected 20 SMEs (Flick <xref ref-type="bibr" rid="CIT0036">2018</xref>). Key stakeholders involved in smart city development encompass private and public sectors, technology providers, infrastructure developers, urban planners, architects, regulatory bodies, utility providers, financial institutions and investors. However, the article focussed on sourcing SMEs specialised in domains such as data security and privacy, cybersecurity, advisory and strategy, ICT, information technologies (IT), IoT security, information risk management and smart city technology. Thus, as detailed in <xref ref-type="table" rid="T0001">Table 1</xref>, the findings are well-informed. Furthermore, purposive and snowball sampling were used to collect qualitative data from the research participants. Purposeful sampling enabled the researcher to select individuals based on specific criteria and intentions relevant to the phenomenon being investigated. This method ensures that the sample represents the diversity of perspectives and experiences related to the research topic (Fetters <xref ref-type="bibr" rid="CIT0035">2020</xref>). Snowball sampling was employed by asking initial research participants to suggest and nominate other potential participants who could make valuable contributions to the study. Snowball sampling was used by inviting initial research participants to recommend and nominate other potential participants who could provide valuable insights for the study (Babbie <xref ref-type="bibr" rid="CIT0013">2021</xref>). Both methods were utilised to gather data until reaching a point of data saturation. Participants were selected based on defined criteria to minimise sample bias, using diverse sources to identify potential participants and documenting the entire process. Personal biases were avoided by adhering strictly to these criteria rather than relying on subjective judgements, and ongoing reflection was employed throughout the sampling process. Additionally, triangulation was applied by combining purposive sampling with snowball sampling methods.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Demographic information of participants.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Participant</th>
<th valign="top" align="center">Age</th>
<th valign="top" align="left">Gender</th>
<th valign="top" align="left">Occupation</th>
<th align="left">Level of education</th>
<th valign="top" align="left">Years of experience</th>
<th valign="top" align="left">Industry</th>
<th valign="top" align="left">Sector</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">1</td>
<td align="center">53</td>
<td align="left">Female</td>
<td align="left">Director</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Doctor of Philosophy (PhD) Computer Security</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>27 total in data security and privacy</p></list-item>
</list></td>
<td align="left">Cybersecurity</td>
<td align="left">Private</td>
</tr>
<tr>
<td align="left">2</td>
<td align="center">36</td>
<td align="left">Male</td>
<td align="left">Head of IT</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Experience-based</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>12 total in IT and networks security management</p></list-item>
</list></td>
<td align="left">Medical</td>
<td align="left">Private</td>
</tr>
<tr>
<td align="left">3</td>
<td align="center">32</td>
<td align="left">Male</td>
<td align="left">Network security specialist</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Multiple IT qualifications</p></list-item>
<list-item><label>-</label><p>Expert-level network security</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>8 total in IT</p></list-item>
<list-item><label>-</label><p>3 network security</p></list-item>
</list></td>
<td align="left">IT</td>
<td align="left">Private</td>
</tr>
<tr>
<td align="left">4</td>
<td align="center">49</td>
<td align="left">Male</td>
<td align="left">Senior cyber strategy and operations specialist</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>PhD Informatics Cyber Counter-intelligence (CI)</p></list-item>
<list-item><label>-</label><p>Master in Commerce (MCom) Informatics</p></list-item>
<list-item><label>-</label><p>Multiple cybersecurity certifications (CISM, CISCO, CISSP)</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>27 total in information technology and cybersecurity</p></list-item>
</list></td>
<td align="left">Cybersecurity</td>
<td align="left">Public</td>
</tr>
<tr>
<td align="left">5</td>
<td align="center">39</td>
<td align="left">Female</td>
<td align="left">Information security and risk management manager</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Bachelor of Science (B.Sc.) Information Systems</p></list-item>
<list-item><label>-</label><p>B.Com Honours Information Systems (Computer forensics)</p>
<p>ISC2 &#x2013; cybersecurity certification</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>6 in digital forensic analysis/ Cybercrime investigator</p></list-item>
<list-item><label>-</label><p>2 in Information security operations</p></list-item>
</list></td>
<td align="left">Information security</td>
<td align="left">Public</td>
</tr>
<tr>
<td align="left">6</td>
<td align="center">38</td>
<td align="left">Male</td>
<td align="left">Senior business intelligence analyst</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>B.Sc. Economics</p></list-item>
<list-item><label>-</label><p>Certifications in data programming languages</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>11 total in data analysis</p></list-item>
<list-item><label>-</label><p>3 in data analytics and analysis</p></list-item>
</list></td>
<td align="left">IT</td>
<td align="left">Private</td>
</tr>
<tr>
<td align="left">7</td>
<td align="center">34</td>
<td align="left">Male</td>
<td align="left">IT manager</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Cybersecurity certifications (cloud storage)</p></list-item>
<list-item><label>-</label><p>Expert-level network security</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>5 in IT management</p></list-item>
</list></td>
<td align="left">Logistics</td>
<td align="left">Private</td>
</tr>
<tr>
<td align="left">8</td>
<td align="center">47</td>
<td align="left">Male</td>
<td align="left">Government official</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>PhD International Management</p></list-item>
<list-item><label>-</label><p>Master of Arts (MA) Security Studies</p></list-item>
<list-item><label>-</label><p>Published articles related to smart cities</p></list-item>
<list-item><label>-</label><p>Chief Information Officer (CIO)</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>22 total in designing and developing security solutions related to data security and privacy</p></list-item>
</list></td>
<td align="left">Government</td>
<td align="left">Public</td>
</tr>
<tr>
<td align="left">9</td>
<td align="center">52</td>
<td align="left">Male</td>
<td align="left">Cybersecurity consultant</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>83 industry certifications</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>34 total in IT</p></list-item>
<list-item><label>-</label><p>19 cybersecurity</p></list-item>
</list></td>
<td align="left">ICT</td>
<td align="left">Private/Public</td>
</tr>
<tr>
<td align="left">10</td>
<td align="center">41</td>
<td align="left">Male</td>
<td align="left">Cybersecurity analyst</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Advanced Diploma in information management</p></list-item>
<list-item><label>-</label><p>Multiple cybersecurity certifications</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>19 total in software development</p></list-item>
<list-item><label>-</label><p>9 cybersecurity</p></list-item>
</list></td>
<td align="left">Cybersecurity</td>
<td align="left">Public</td>
</tr>
<tr>
<td align="left">11</td>
<td align="center">49</td>
<td align="left">Male</td>
<td align="left">Information assurance engineer</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>IT Diploma,</p></list-item>
<list-item><label>-</label><p>Multiple cybersecurity and data security certifications</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>29 total in IT and cybersecurity</p></list-item>
</list></td>
<td align="left">Cybersecurity</td>
<td align="left">Public</td>
</tr>
<tr>
<td align="left">12</td>
<td align="center">37</td>
<td align="left">Male</td>
<td align="left">Cyber investigator</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Multiple cybersecurity, data security and data privacy courses</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>14 total Cybersecurity</p></list-item>
<list-item><label>-</label><p>5 years of data breach investigations</p></list-item>
</list></td>
<td align="left">Cybersecurity</td>
<td align="left">Public</td>
</tr>
<tr>
<td align="left">13</td>
<td align="center">35</td>
<td align="left">Male</td>
<td align="left">Cybersecurity consultant</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Cybersecurity courses (NQF 5)</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>14 total in technical fields</p></list-item>
<list-item><label>-</label><p>8 cybersecurity</p></list-item>
</list></td>
<td align="left">Cybersecurity</td>
<td align="left">Public</td>
</tr>
<tr>
<td align="left">14</td>
<td align="center">41</td>
<td align="left">Male</td>
<td align="left">Information risk specialist</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Degree IT</p></list-item>
<list-item><label>-</label><p>Multiple data security certifications</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>18 total risk management</p></list-item>
<list-item><label>-</label><p>7 cybersecurity</p></list-item>
</list></td>
<td align="left">Banking</td>
<td align="left">Private</td>
</tr>
<tr>
<td align="left">15</td>
<td align="center">31</td>
<td align="left">Female</td>
<td align="left">Technologist</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>PhD in applied science: IoT security</p></list-item>
<list-item><label>-</label><p>EC Council certifications ethical hacking.</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>5 total in IoT security</p></list-item>
<list-item><label>-</label><p>1 cybersecurity (ethical hacking)</p></list-item>
</list></td>
<td align="left">IoT R&#x0026;D</td>
<td align="left">Public</td>
</tr>
<tr>
<td align="left">16</td>
<td align="center">43</td>
<td align="left">Male</td>
<td align="left">ICT security engineer</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Multiple certifications in network and data security</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>11 total ICT Security Engineering</p></list-item>
</list></td>
<td align="left">ICT</td>
<td align="left">Public</td>
</tr>
<tr>
<td align="left">17</td>
<td align="center">36</td>
<td align="left">Female</td>
<td align="left">Cloud solution architect</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Certifications in Microsoft Data and AI Cloud Solution Architect</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>12 total in IT and network security</p></list-item>
</list></td>
<td align="left">IT</td>
<td align="left">Private</td>
</tr>
<tr>
<td align="left">18</td>
<td align="center">40</td>
<td align="left">Female</td>
<td align="left">ICT customer relations</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>National Diploma in IT: Software Development</p></list-item>
<list-item><label>-</label><p>Introduction Course to Cybersecurity</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>18 years&#x2019; experience in ICT customer relations</p></list-item>
</list></td>
<td align="left">IT</td>
<td align="left">Public</td>
</tr>
<tr>
<td align="left">19</td>
<td align="center">45</td>
<td align="left">Male</td>
<td align="left">ICT security engineer</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Diploma in Computer Science</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>14 years in cybersecurity, incident detection and response and forensic analysis.</p></list-item>
</list></td>
<td align="left">ICT</td>
<td align="left">Public</td>
</tr>
<tr>
<td align="left">20</td>
<td align="center">42</td>
<td align="left">Female</td>
<td align="left">ICT customer relations</td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>Diploma in Information Technology</p></list-item>
</list></td>
<td align="left"><list list-type="simple">
<list-item><label>-</label><p>11 Working experience in ICT</p></list-item>
</list></td>
<td align="left">ICT</td>
<td align="left">Public</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>IT, information technology; AI, artificial intelligence; IoT, Internet of Things; ICT, information and communication technologies; R&#x0026;D, research and development.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s20007">
<title>Data collection and analysis</title>
<p>The article incorporated both primary and secondary sources of information. Data were collected through virtual interviews on Microsoft Teams and Zoom platforms and interviews via email (Roulston &#x0026; Choi <xref ref-type="bibr" rid="CIT0093">2018</xref>). The structured email interview questions mirrored those used in virtual, real-time interviews (Radigan &#x0026; Mendez <xref ref-type="bibr" rid="CIT0089">2018</xref>). Research participants shared personal and public documents detailing data security and privacy risks they encountered in their professional experiences.</p>
<p>Thematic data analysis was conducted according to the conventional phases of analysis and interpretation outlined by Leavy (<xref ref-type="bibr" rid="CIT0060">2023</xref>), during which themes emerged. The interview transcripts were thoroughly reviewed multiple times to gain a comprehensive understanding of the content. Significant features were systematically coded across the entire dataset, focussing on recurring aspects related to data security and privacy risks. These codes were then reviewed and grouped into potential themes. Broader patterns and key themes capturing the essence of the data were identified. The themes were refined for accuracy and clearly defined, with appropriate labels reflecting the data they represent. Finally, the data were compiled into a manuscript, and the findings are presented in the next section.</p>
<p>To enhance the depth of understanding of the phenomenon under investigation, data triangulation was achieved by incorporating multiple sources of data (Hesse-Biber <xref ref-type="bibr" rid="CIT0042">2017</xref>).</p>
</sec>
<sec id="s20008">
<title>Ethical considerations</title>
<p>The research study was approved by the UNISA 2022 Ethics Review Committee. The study was determined low-risk in compliance with the Unisa Policy on Research Ethics and Standard Operating Procedure on Research Ethics Risk Assessment (Ethical clearance number ST86-2022).</p>
</sec>
</sec>
<sec id="s0009">
<title>Findings and discussion</title>
<p>South Africa&#x2019;s emerging smart cities confront an increasingly complex threat landscape that endangers the data security and privacy of their citizens (Cornelius <xref ref-type="bibr" rid="CIT0021">2022</xref>; Mcanyana et al. <xref ref-type="bibr" rid="CIT0070">2020</xref>; Pieterse <xref ref-type="bibr" rid="CIT0087">2021</xref>). Given the ongoing development of smart cities in South Africa, incidents of data security and privacy breaches are highlighted to emphasise the associated severity of the issue. This issue is not isolated to South Africa; it reflects a global concern. In 2021 alone, data breaches reached a record high, with over 5.1 billion records compromised (Irwin <xref ref-type="bibr" rid="CIT0051">2022</xref>). Consequently, the findings on data security and privacy risks in South African smart cities are not only pertinent locally but also provide valuable insights for other developing nations worldwide.</p>
<sec id="s20010">
<title>Data security and privacy risks and challenges in emerging South African smart cities</title>
<p>Participants were tasked with identifying the data security and privacy risks and challenges facing emerging smart cities in South Africa. The identified risks and challenges include poor governance, a shortage of skills, a lack of awareness and training, insufficient funding and a combination of these factors.</p>
<sec id="s30011">
<title>Poor governance</title>
<p>Participants identified poor governance as a major risk to data security and privacy in emerging South African smart cities. Fabr&#x00E8;gue and Bogoni (<xref ref-type="bibr" rid="CIT0030">2023</xref>) emphasise the detrimental impact of inadequate governance on individual privacy and information security within smart cities, citing potential trade-offs between policy efficiency, business profitability, consumer convenience and personal privacy. The absence of accountability and disciplinary action has severely undermined good governance in local government, compromising the provision of basic services. Additionally, the financial instability of local governments, stemming from poor governance, has further hindered public service delivery (Thusi &#x0026; Selepe <xref ref-type="bibr" rid="CIT0104">2023</xref>). The fiscal year 2021/2022 highlighted this issue, as only 38 out of 257 municipalities received clean audits, underscoring the widespread lack of consequence management and governance failures (Erasmus <xref ref-type="bibr" rid="CIT0029">2023</xref>). This illuminates scepticism about the potential for effective governance in emerging South African smart cities if basic services continue to go undelivered in many communities. Participants reported governance risks associated with non-compliance with data security and privacy legislation as a major concern. Participant 10 highlighted fears about the oversight of new technology implementation, emphasising that regulatory non-compliance poses serious risks. Despite South Africa&#x2019;s adoption of the National Cybersecurity Policy Framework (NCPF) in 2015, challenges persist in implementing the cybersecurity strategy at the national level (Malatji, Marnewick &#x0026; Von Solms <xref ref-type="bibr" rid="CIT0066">2021</xref>).</p>
<p>Participants also pointed out governance risks linked to cybersecurity infrastructure, confidentiality concerns and third-party service providers. The absence of secure technology for data storage and transmission, potential misuse of data by third parties and insufficient contractual agreements with vendors pose substantial risks. Participant 6 stressed the need for well-drafted service-level agreements (SLAs) to mitigate security risks arising from interactions between governments, municipalities and the private sector in emerging South African smart cities. Pereira et al. (<xref ref-type="bibr" rid="CIT0085">2018</xref>) and Ramparsad (<xref ref-type="bibr" rid="CIT0090">2020</xref>) advocate for the adoption of &#x2018;smart&#x2019; governance principles in smart cities to effectively address potential risks. Despite challenges faced by emerging South African cities, Ramparsad (<xref ref-type="bibr" rid="CIT0090">2020</xref>) suggests that smart principles and initiatives leveraging urban data for enhanced governance should continue shaping their trajectory.</p>
<p>Participants 4 and 10 underscored the challenges associated with insufficient public-private partnerships (PPPs) in emerging South African smart cities. Strengthening PPPs is vital for smart city development, requiring effective collaboration among government agencies, the private sector and civil society organisations to address data security and privacy risks. Overcoming obstacles connected to diverse interests, priorities and varying awareness levels about cybersecurity risks is crucial. Public sector bureaucracy emerged as a significant challenge, hindering quick adaptation to dynamic cybersecurity needs. Administrative hurdles, influenced by political practices within South African municipalities, contribute to challenges such as politically influenced appointments and inadequately skilled personnel (Mncwabe <xref ref-type="bibr" rid="CIT0072">2020</xref>). Participant 6 stressed governance challenges in keeping up with rapid technological advances, relying on the private sector for due diligence on new systems. The general lack of data maturity in smart cities further hamper informed decision-making in smart governance.</p>
<p>Participants also highlighted key challenges linked to governance in emerging South African smart cities. Notably, concerns were raised about the absence of a dedicated national Cyber Security Incident Response Team (CSIRT) for the smart city IoT environment, as mandated by the NCPF (Malatji et al. <xref ref-type="bibr" rid="CIT0066">2021</xref>; State Security Agency [SSA] <xref ref-type="bibr" rid="CIT0100">2015</xref>; Sutherland <xref ref-type="bibr" rid="CIT0101">2017</xref>). Despite the establishment of the National Cybersecurity Advisory Council (NCAC) in 2013 to address organisational cybersecurity deficiencies, evidence suggests limited impact, leaving regulatory compliance, data governance and ethics concerns unaddressed. Monitoring mechanisms, often focussed on post-breach consequences rather than proactive evaluation, were identified as a weakness by Participant 8. Despite the establishment of the NCPF, South Africa lags in comprehensive cybersecurity legislation and engagement with businesses and citizens. Furthermore, Participants 15 and 16 called for appropriate consequences for the misuse of private information and highlighted challenges associated with load-shedding on data security and privacy. Load-shedding can lead to data continuity issues, especially for data centres relying on the national electricity grid, urging organisations to closely monitor schedules, particularly those using cloud storage (Seacom <xref ref-type="bibr" rid="CIT0095">2023</xref>; Thusi, Matyana &#x0026; Jili <xref ref-type="bibr" rid="CIT0105">2023</xref>).</p>
<p>In addressing governance in emerging South African smart cities, Participant 6 emphasised the necessity of robust data protection and privacy policies. While the introduction of the <italic>Protection of Personal Information (PoPI) Act</italic> is a positive step, Participant 9 argued that effective implementation and enforcement of these policies are crucial for consistent data and privacy protection across smart city initiatives. Recent studies in Africa advocate for adopting an automated model for data protection compliance and enforcement using semantic web technologies and ontology. These systems streamline compliance checks effectively and identify instances of non-compliance with minimal effort (Tom et al. <xref ref-type="bibr" rid="CIT0107">2023</xref>).</p>
</sec>
<sec id="s30012">
<title>Skills shortage</title>
<p>Professional development is considered crucial for ensuring a fair, efficient and sustainable shift towards smart cities. However, the available training to improve the skills of the smart cities&#x2019; workforce is significantly restricted and frequently fails to meet the requirements of smart cities (Panagiotakopoulos et al. <xref ref-type="bibr" rid="CIT0083">2024</xref>). Participants raised concerns about the shortage of skilled professionals in the field of data security and privacy in South Africa. Participants 3 and 4 expressed their concerns about a general lack of knowledge and skills among employees, posing risks to citizens&#x2019; data and privacy. Participant 5 accentuated the absence of specialised professionals at the municipal level as a significant risk for emerging South African smart cities. The scarcity of cybersecurity skills, including data privacy and protection expertise, is a prominent challenge not only in South Africa but also in the global market (Cornelius <xref ref-type="bibr" rid="CIT0021">2022</xref>). Despite high unemployment rates and numerous educational institutions, the skills shortage persists, attributed to insufficient national ICT planning and coordination (Malatji et al. <xref ref-type="bibr" rid="CIT0066">2021</xref>; Sutherland <xref ref-type="bibr" rid="CIT0101">2017</xref>).</p>
<p>Participant 8 warned that a skills shortage may hinder harnessing benefits from innovations like AI and machine learning in securing citizen data. Participant 11 cautioned against human errors because of skills shortages, risking data loss and operational disruptions without adequate backups or disaster recovery procedures. To mitigate these risks, the South African government can conduct a comprehensive risk assessment of data security and privacy practices (Malatji et al. <xref ref-type="bibr" rid="CIT0066">2021</xref>; Sutherland <xref ref-type="bibr" rid="CIT0101">2017</xref>). Such an assessment, leveraging industry standards, guidelines and best practices, would enhance cyber resilience in smart cities. However, scholarly research on data security and privacy within South African municipalities remains limited (Boyle <xref ref-type="bibr" rid="CIT0018">2020</xref>; Masombuka et al. <xref ref-type="bibr" rid="CIT0069">2021</xref>).</p>
<p>Participants illuminated the significant challenges linked to skill shortages in data security and privacy in emerging South African smart cities. Participant 6 expressed concern about the limited pool of cybersecurity expertise, emphasising the need for knowledgeable individuals to operate complex systems and anticipate threats. The lack of in-house skills contributes to cybersecurity ineffectiveness in South Africa. Addressing this gap requires interventions such as cybersecurity training, workforce diversification, pursuing certifications and educational enhancements organisations (Malatji et al. <xref ref-type="bibr" rid="CIT0066">2021</xref>; Mcanyana et al. <xref ref-type="bibr" rid="CIT0070">2020</xref>; Veerasamy, Mashiane &#x0026; <xref ref-type="bibr" rid="CIT0112">2019</xref>).</p>
<p>Participant 8 noted the challenges associated with the lack of shared understanding among employees about risks in emerging South African smart cities but suggested that a combination of resources, risk-aware processes and appropriate technology could rectify this issue. Embracing technological advancements is crucial, including endpoint security, data encryption and secure wireless fidelity (Wi-Fi) networks (Cornelius <xref ref-type="bibr" rid="CIT0021">2022</xref>; Ismagilova et al. <xref ref-type="bibr" rid="CIT0053">2020</xref>; Politou et al. <xref ref-type="bibr" rid="CIT0088">2022</xref>). Participant 9 emphasised the need to build capacity and expertise. He further explained the challenges related to establishing a skilled workforce in cybersecurity, especially in developing countries facing a global shortage of professionals. Developing skills requires investment in training, education and professional development programmes. Participant 11 stressed the importance of skills for robust cybersecurity procedures, frequent security assessments and incident response plans to safeguard smart city infrastructure. Participant 15 highlighted the essential role of skills in establishing appropriate data protection infrastructure. Participant 16 noted the challenges related to the scarcity of skilled resources in managing data security and privacy, attributing it to factors like the absence of cybersecurity courses, limited funds for training, rapid technological advancements and an expanding threat landscape. These findings are corroborated by existing literature (Backhouse, Karuri-Sebina &#x0026; Guya, <xref ref-type="bibr" rid="CIT0014">2020</xref>; Masombuka et al. <xref ref-type="bibr" rid="CIT0069">2021</xref>; Research ICT Africa <xref ref-type="bibr" rid="CIT0092">2020</xref>; Veerasamy et al. <xref ref-type="bibr" rid="CIT0112">2019</xref>).</p>
</sec>
<sec id="s30013">
<title>Awareness and training</title>
<p>Participants highlighted the risks associated with awareness and training in data security and privacy for emerging smart cities in South Africa. Participants 2, 3, 8, 9 and 12 expressed concerns about limited citizen awareness. Participant 9 emphasised the need to raise awareness about cybersecurity risks, data privacy and individual rights, addressing the increasing vulnerability of individuals lacking digital literacy. Research ICT Africa (<xref ref-type="bibr" rid="CIT0092">2020</xref>) suggested a comprehensive framework for proactive harm prevention, requiring extensive public awareness campaigns. Participant 4 expressed concern about a widespread lack of awareness in these cities, noting the potential for employees to become &#x2018;insider threats&#x2019; because of a careless attitude towards cybersecurity. Participant 9 stressed the critical role of education and awareness programmes in mitigating risks linked to insider threats and social engineering attacks in South Africa. As an example, the Experian data theft incident in August 2020 exposed 24 million South Africans to cybercrimes like identity theft and social engineering (Hosken <xref ref-type="bibr" rid="CIT0043">2020</xref>). Ongoing risks of social engineering attacks were reported by IBM Security (<xref ref-type="bibr" rid="CIT0047">2021</xref>), with potentially severe financial ramifications for smart cities and citizens. Earlier mentioned incidents, the 2022 TransUnion credit bureau data breach (Moodley <xref ref-type="bibr" rid="CIT0073">2022</xref>) and a 2023 claim of hacking the SANDF network systems (Daily Maverick <xref ref-type="bibr" rid="CIT0024">2023</xref>), further exemplify the vulnerability of sensitive data. As these incidents occur within the South African context, emerging smart cities will similarly be vulnerable to such attacks unless lessons are learned and proactive measures are implemented to prevent them.</p>
<p>The implementation of regular security awareness training in the workplace is considered essential for enhancing employees&#x2019; awareness of threats and overcoming resistance to change (Ablon <xref ref-type="bibr" rid="CIT0001">2018</xref>; Fataar <xref ref-type="bibr" rid="CIT0032">2020</xref>; Ismagilova et al. <xref ref-type="bibr" rid="CIT0053">2020</xref>; Malatji et al. <xref ref-type="bibr" rid="CIT0066">2021</xref>). Participant 7 emphasised that such training could contribute significantly to addressing employees&#x2019; resistance and educating them about potential risks and secure practices. Neglecting to secure personal devices, using them for work and lacking multi-factor authentication were identified as significant vulnerabilities, making data security and privacy awareness crucial for citizens in emerging smart cities in South Africa.</p>
<p>Participant 8 cautioned about inadequate understanding of data security and privacy risks among citizens, emphasising the importance of education to aid smart cities in safeguarding information integrity. Participant 12 highlighted challenges in educating end-users about cybersecurity risks, aligning with Mabaso&#x2019;s (<xref ref-type="bibr" rid="CIT0063">2018</xref>) emphasis on the need for cybersecurity education in South Africa. Regular training and education are crucial for promoting a security-focussed cyberculture.</p>
<p>Participant 9 underscored the digital divide in South Africa, emphasising the importance of bridging this gap for effective cybersecurity measures. Initiatives like &#x2018;Smart Townships&#x2019; and &#x2018;Smart Villages&#x2019; aim to address digital inequality (Research ICT Africa <xref ref-type="bibr" rid="CIT0092">2020</xref>:84). Despite having the third-highest gross domestic product (GDP) (Varrella <xref ref-type="bibr" rid="CIT0111">2021</xref>) and the second-fastest Internet speeds in Africa (Larnyoh <xref ref-type="bibr" rid="CIT0059">2021</xref>), South African Internet users lack experience in cyberspace (Mcanyana et al. <xref ref-type="bibr" rid="CIT0070">2020</xref>; Research ICT Africa <xref ref-type="bibr" rid="CIT0092">2020</xref>). Citizens in emerging smart cities must possess data security and privacy awareness, and the smart city IT department must have the proper training and communication skills to inform and assist citizens effectively (Ismagilova et al. <xref ref-type="bibr" rid="CIT0053">2020</xref>; Malatji et al. <xref ref-type="bibr" rid="CIT0066">2021</xref>; Masombuka et al. <xref ref-type="bibr" rid="CIT0069">2021</xref>).</p>
<p>Participant 6 emphasised the importance of effective data collection management in emerging smart cities, highlighting the need for proper consent, transparency and citizen education. Managing data in smart cities involves addressing challenges in implementing data privacy regulations, deciding what to collect, implementing secure storage solutions, ensuring data quality and making informed decisions about its usage (Backhouse et al. <xref ref-type="bibr" rid="CIT0014">2020</xref>; Ismagilova et al. <xref ref-type="bibr" rid="CIT0053">2020</xref>).</p>
</sec>
<sec id="s30014">
<title>Lack of funding</title>
<p>Participants emphasised the risks associated with inadequate funding to address data security and privacy risks. Participant 4 expressed concern about the lack of sustainable funding for implementing necessary measures, potentially leading to ineffective supervision of data security and privacy protection protocols. Participant 18 highlighted increased compliance costs with data security and privacy standards, aligning with Kandeh, Botha and Futcher (<xref ref-type="bibr" rid="CIT0054">2018</xref>:8), who argue that compliance with the <italic>PoPI Act</italic> poses a financial burden to businesses and organisations in emerging South African smart cities. The ongoing issue of insufficient funding in smart cities within local government hampers effective cybersecurity supervision, making emerging South African smart cities susceptible to cyberattacks (Cornelius <xref ref-type="bibr" rid="CIT0021">2022</xref>; Masombuka et al. <xref ref-type="bibr" rid="CIT0069">2021</xref>; Norris et al. <xref ref-type="bibr" rid="CIT0081">2020</xref>). McKinsey and Company (<xref ref-type="bibr" rid="CIT0071">2019</xref>) note organisations&#x2019; reluctance to allocate resources for cybersecurity unless significant financial consequences are attached. Cornelius (<xref ref-type="bibr" rid="CIT0021">2022</xref>) cautions that even with available investment, the shortage of skilled cybersecurity professionals limits efforts.</p>
<p>Participants highlighted insufficient funding as a major challenge for data security and privacy in emerging South African smart cities. Participant 4 expressed concerns about sustainable funding availability for securing data, emphasising its potential costliness. Participant 9 noted limited financial and technological resources for cybersecurity initiatives in developing countries like South Africa, raising concerns about budgetary constraints for training and retaining skilled professionals in small and medium-sized companies within their cities.</p>
<p>Persistent challenges stem from inadequate financial resources allocated to smart cities at the local government level, hindering effective oversight of cybersecurity measures (Cornelius <xref ref-type="bibr" rid="CIT0021">2022</xref>; Masombuka et al. <xref ref-type="bibr" rid="CIT0069">2021</xref>; Norris et al. <xref ref-type="bibr" rid="CIT0081">2020</xref>). The COVID-19 pandemic further strained financial resources because of an upsurge in sophisticated cyberattacks (Nabe <xref ref-type="bibr" rid="CIT0078">2020</xref>). Participant 7 pointed out a lack of understanding among companies in emerging smart cities about the costs of cybersecurity systems, highlighting challenges in justifying expenses when decision-makers do not physically see the differences in devices. Outdated technology use by local governments, including emerging smart cities, is common because of funding limitations, leaving them vulnerable to cyberattacks (Masombuka et al. <xref ref-type="bibr" rid="CIT0069">2021</xref>; Pieterse <xref ref-type="bibr" rid="CIT0087">2021</xref>; Thompson <xref ref-type="bibr" rid="CIT0103">2019</xref>). Participant 18 emphasised the financial challenges associated with implementing and maintaining data security and privacy measures. Despite these challenges, South African organisations face record-breaking data breach costs, with an 8&#x0025; increase over 3 years, reaching an average of R49.45 million in 2023 (IBM Security <xref ref-type="bibr" rid="CIT0048">2022</xref>, <xref ref-type="bibr" rid="CIT0049">2023</xref>).</p>
</sec>
<sec id="s30015">
<title>Combination of risks</title>
<p>Effective data security and privacy rely on comprehensive security measures to mitigate potential risks (Cornelius <xref ref-type="bibr" rid="CIT0021">2022</xref>; Majid <xref ref-type="bibr" rid="CIT0065">2023</xref>; Malatji et al. <xref ref-type="bibr" rid="CIT0066">2021</xref>; Masombuka et al. <xref ref-type="bibr" rid="CIT0069">2021</xref>; Research ICT Africa <xref ref-type="bibr" rid="CIT0092">2020</xref>; Sharma &#x0026; Arya <xref ref-type="bibr" rid="CIT0096">2023</xref>; Telo <xref ref-type="bibr" rid="CIT0102">2023</xref>; Verhulsdonck et al. <xref ref-type="bibr" rid="CIT0113">2023</xref>; Xia et al. <xref ref-type="bibr" rid="CIT0115">2023</xref>). However, participants emphasised that a combination of poor governance, skills shortage, lack of awareness and insufficient funding may result in inadequate data protection, exposing emerging South African smart cities to cyber threats and data breaches. Insufficient security measures, weak encryption, improper data storage and transmission procedures pose direct risks to data protection, as highlighted by Participant 11. Participant 6 echoed concerns, stating, &#x2018;Inadequate data protection is also a risk because they rely on robust data protection mechanisms to ensure that there is confidentiality, integrity and prudence in the system&#x2019;. Participant 6 also argued that inadequate security measures may lead to the exposure of sensitive data.</p>
<p>Ransomware and phishing attacks were identified as specific threats linked to inadequate data protection measures, leading to data locking, malware installation or exposure of sensitive information, as noted by Participant 11. Phishing attacks were highlighted as a significant risk, with South Africa leading in cybersecurity threats on the continent in 2022 (Interpol <xref ref-type="bibr" rid="CIT0050">2022</xref>). The Federal Bureau of Investigation (FBI) reported that the majority of cybercrimes in 2021 involved phishing attacks (FBI <xref ref-type="bibr" rid="CIT0033">2021</xref>), and South Africa ranked third globally in the number of cybercrime victims, incurring an annual cost of R2.2 billion (Accenture <xref ref-type="bibr" rid="CIT0003">2020</xref>). Ransomware was emphasised by Participant 1 as a form of extortion following data breaches, aligning with the reported increase in extortion tactics by cybercriminals.</p>
<p>In terms of challenges, a combination of poor governance, skills shortage, lack of awareness and training and insufficient funding poses a significant challenge to achieving adequate data and privacy protection in emerging South African smart cities. Participants highlighted the collective neglect of these challenges, emphasising the major threat they pose to data security.</p>
<p>Participants 6 and 12 identified critical challenges with infrastructure vulnerabilities, stemming from ongoing underinvestment in securing ICT systems and cybersecurity initiatives within local government. Participant 6 attributed this vulnerability to the heavy reliance on interconnected infrastructure networks in smart cities, exposing sensitive data to cyber threats. The Mirai botnet attack in 2016 (Al-Turjman &#x0026; Imran <xref ref-type="bibr" rid="CIT0008">2020</xref>) illustrated the potentially devastating impact of such attacks on smart cities dependent on IoT for operations (Patel &#x0026; Doshi <xref ref-type="bibr" rid="CIT0084">2019</xref>; Vaidya et al. <xref ref-type="bibr" rid="CIT0110">2021</xref>).</p>
<p>Instances of sophisticated botnet-assisted cyberattacks in South Africa, including distributed denial of service (DDoS) attacks on the banking sector (Moyo <xref ref-type="bibr" rid="CIT0074">2019</xref>) and ransomware attacks on a city&#x2019;s power provider (Spadafora <xref ref-type="bibr" rid="CIT0099">2019</xref>), exemplify tangible risks faced by emerging smart cities. Participant 12 emphasised the challenge of safeguarding multiple sensors and IoT devices throughout smart cities, noting the lack of robust security measures and testing, creating opportunities for malicious exploitation and cybersecurity threats. Therefore, the combined data security and privacy risks can greatly compromise the advantages of smart cities, highlighting the critical need for strong security measures and continuous vigilant oversight.</p>
</sec>
</sec>
</sec>
<sec id="s0016">
<title>Conclusion</title>
<p>Despite the benefits brought about by emerging smart cities, data security and privacy concerns persist. This study investigated these risks in emerging South African smarties. Several key challenges were identified, including poor governance, skill shortages, lack of awareness and training and insufficient funding. The findings emphasise the need for proactive measures to protect data and privacy in the emerging smart city landscape. This research promotes interdisciplinary dialogue for comprehensive solutions and provides globally relevant insights into the data security and privacy challenges of smart cities. The article&#x2019;s findings are limited by its sample size; however, the empirical insights offered by the research participants contribute to the literature on smart cities in developing countries. Future research prospects should explore how smart cities in other developing countries guard against data security and privacy risks.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<sec id="s20017" sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.</p>
</sec>
<sec id="s20018">
<title>Authors&#x2019; contributions</title>
<p>F.P.C. contributed towards the conceptualisation, methodology, data collection, formal analysis and writing of the original draft preparation. S.K.J.v.R. contributed towards the conceptualisation, methodology, writing, review &#x0026; editing and supervision.</p>
</sec>
<sec id="s20019" sec-type="data-availability">
<title>Data availability</title>
<p>The data that support the findings of this study are available from the corresponding author, S.K.J.v.R., upon reasonable request.</p>
</sec>
<sec id="s20020">
<title>Disclaimer</title>
<p>The views and opinions expressed in this article are those of the authors and are the product of professional research. The article does not necessarily reflect the official policy or position of any affiliated institution, funder, agency or that of the publisher. The authors are responsible for this article&#x2019;s results, findings and content.</p>
</sec>
</ack>
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<fn><p><bold>How to cite this article:</bold> Cornelius, F.P. &#x0026; Jansen van Rensburg, S.K., 2024, &#x2018;Emerging South African smart cities: Data security and privacy risks and challenges&#x2019;, <italic>South African Journal of Information Management</italic> 26(1), a1847. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/sajim.v26i1.1847">https://doi.org/10.4102/sajim.v26i1.1847</ext-link></p></fn>
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