Security and privacy challenges in smart cities

Braun, Trevor Michael; Fung, Benjamin C. M.; Iqbal, Farkhund; Shah, Babar

doi:10.1016/j.scs.2018.02.039

Cited by 261 publications

(128 citation statements)

References 19 publications

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“…Those with low scores are often shamed and penalized in schools and workplaces (Herndez, 2019). As Braun et al (2018) highlighted, more data collection would create further opportunities for privacy invasion,…”

Section: How Human Intervention Mediates the Potential Of Technologiesmentioning

confidence: 99%

Smart technologies for fighting pandemics: The techno- and human- driven approaches in controlling the virus transmission

Kummitha

2020

Government Information Quarterly

211

199

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How do governments in China and Western democracies differ in their technological response to control the transmission of the pandemic? Based on an analysis of academic papers, World Health Organization reports and newspapers, this research compares two opposing approaches, whereas the Chinese cities and government have adopted a techno-driven approach, Western governments have adopted a human-driven approach to control the transmission of Covid-19. The findings highlight that although the techno driven approach may be more productive to identify, isolate and quarantine infected individuals, it also results in the suppression and censoring the citizen views. It is further emphasized that human interaction with the technology is mediated by the political and institutional context in which the technologies are implemented. This paper contributes to literature by understanding the humantechnology relationship, and offers five practical observations for controlling virus transmissions during pandemics.

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Section: How Human Intervention Mediates the Potential Of Technologiesmentioning

confidence: 99%

Smart technologies for fighting pandemics: The techno- and human- driven approaches in controlling the virus transmission

Kummitha

2020

Government Information Quarterly

211

199

View full text Add to dashboard Cite

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Section: Ai In the Governance Dimension Of Smart Citiesmentioning

confidence: 99%

“…Cyber threats also pose significant risks to smart cities both in terms data privacy and the protection of connected infrastructure [83,161,162]. AI can be used to identify irregular behavior, determine what is a threat and implement mitigation measures at speeds beyond that of human ability [83,100]. This together with encryption technologies such as blockchain [100], and a focus on data security at all levels of design [131], can alleviate individual concerns regarding data security and contribute to increased transparency and trust regarding online systems [83,141].…”

Section: Ai In the Governance Dimension Of Smart Citiesmentioning

confidence: 99%

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

et al. 2020

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Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban locations that are enabled by community, technology, and policy to deliver productivity, innovation, livability, wellbeing, sustainability, accessibility, good governance, and good planning—has increased the demand for AI-enabled innovations. There is, nevertheless, no scholarly work that provides a comprehensive review on the topic. This paper generates insights into how AI can contribute to the development of smarter cities. A systematic review of the literature is selected as the methodologic approach. Results are categorized under the main smart city development dimensions, i.e., economy, society, environment, and governance. The findings of the systematic review containing 93 articles disclose that: (a) AI in the context of smart cities is an emerging field of research and practice. (b) The central focus of the literature is on AI technologies, algorithms, and their current and prospective applications. (c) AI applications in the context of smart cities mainly concentrate on business efficiency, data analytics, education, energy, environmental sustainability, health, land use, security, transport, and urban management areas. (d) There is limited scholarly research investigating the risks of wider AI utilization. (e) Upcoming disruptions of AI in cities and societies have not been adequately examined. Current and potential contributions of AI to the development of smarter cities are outlined in this paper to inform scholars of prospective areas for further research.

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“…The reliance of the smart city on communication networks and connectivity inevitably leads to significant cyber-security concerns with adversarial threats and an increased risk of system misuse (externally or internally) impacting a large number of people. The increased digital surface in a smart city, as referred to in [31], results in more opportunities for security breaches. The interrelations between different networks can also introduce the possibility of cascade failures and fault propagation.…”

Section: Cyber-securitymentioning

confidence: 99%

“…As noted in [31], the success of a smart city depends on the participation of its citizens. Intelligent solutions may often correspond to increased automation, while many interventions seeking to improve environmental and economic goals on a system-wide perspective may not necessarily benefit all users within the system.…”

Section: User-centric Considerationsmentioning

confidence: 99%

Smart energy systems for sustainable smart cities: Current developments, trends and future directions

et al. 2019

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Within the context of the Smart City, the need for intelligent approaches to manage and coordinate the diverse range of supply and conversion technologies and demand applications has been well established. The wide-scale proliferation of sensors coupled with the implementation of embedded computational intelligence algorithms can help to tackle many of the technical challenges associated with this energy systems integration problem. Nonetheless, barriers still exist, as suitable methods are needed to handle complex networks of actors, often with competing objectives, while determining design and operational decisions for systems across a wide spectrum of features and time-scales. This review looks at the current developments in the smart energy sector, focussing on techniques in the main application areas along with relevant implemented examples, while highlighting some of the key challenges currently faced and outlining future pathways for the sector. A detailed overview of a framework developed for the EU H2020 funded Sharing Cities project is also provided to illustrate the nature of the design stages encountered and control hierarchies required. The study aims to summarise the current state of computational intelligence in the field of smart energy management, providing insight into the ways in which current barriers can be overcome.

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Security and privacy challenges in smart cities

Cited by 261 publications

References 19 publications

Smart technologies for fighting pandemics: The techno- and human- driven approaches in controlling the virus transmission

Smart technologies for fighting pandemics: The techno- and human- driven approaches in controlling the virus transmission

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

Smart energy systems for sustainable smart cities: Current developments, trends and future directions

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