Generating Privacy Zones in Smart Cities

Peters, Fayola; Hanvey, Sorren; Veluru, Suresh; Mady, Alie El‐Din; Boubekeur, Menouer; Nuseibeh, Bashar

doi:10.1109/isc2.2018.8656830

Cited by 6 publications

(6 citation statements)

References 23 publications

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“…The authors highlighted that the proposed application will allow users to control their devices that join the application in terms of sensing and publishing data and enable fine-grained access control rules for their devices whilst deciding who can and cannot be in possession of their device data. The solutions proposed by Burange and Misalkar (2015) and Peters et al (2019) mitigate privacy risks by providing the final decision maker with the opportunity to finalise network access for the client thereby protecting the privacy of user data. The Peters et al (2019) study proposed a privacy awareness framework -PrivacyZones, which requires the service provider to share meaningful features of the data collected by their application.…”

Section: Framework Models Algorithms and Protocols To Improve Security And Privacymentioning

confidence: 99%

“…The solutions proposed by Burange and Misalkar (2015) and Peters et al (2019) mitigate privacy risks by providing the final decision maker with the opportunity to finalise network access for the client thereby protecting the privacy of user data. The Peters et al (2019) study proposed a privacy awareness framework -PrivacyZones, which requires the service provider to share meaningful features of the data collected by their application. The proposed framework was successfully tested using two case study services (Hail-A-Taxi and Get-A-Discount).…”

Section: Framework Models Algorithms and Protocols To Improve Security And Privacymentioning

confidence: 99%

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Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework

et al. 2020

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The complex and interdependent nature of smart cities raises significant political, technical, and socioeconomic challenges for designers, integrators and organisations involved in administrating these new entities. An increasing number of studies focus on the security, privacy and risks within smart cities, highlighting the threats relating to information security and challenges for smart city infrastructure in the management and processing of personal data. This study analyses many of these challenges, offers a valuable synthesis of the relevant key literature, and develops a smart city interaction framework. The study is organised around a number of key themes within smart cities research: privacy and security of mobile devices and services; smart city infrastructure, power systems, healthcare, frameworks, algorithms and protocols to improve security and privacy, operational threats for smart cities, use and adoption of smart services by citizens, use of blockchain and use of social media. This comprehensive review provides a useful perspective on many of the key issues and offers key direction for future studies. The findings of this study can provide an informative research framework and reference point for academics and practitioners.

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Section: Framework Models Algorithms and Protocols To Improve Security And Privacymentioning

confidence: 99%

Section: Framework Models Algorithms and Protocols To Improve Security And Privacymentioning

confidence: 99%

Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework

et al. 2020

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“…In their paper addressing privacy concerns in smart cities, [10] F. Peters et al [2018] propose setting up privacy zones in smart cities. The framework makes sure that individuals are aware of privacy factors before sharing their data in these privacy zones and recommends actions that individuals can take to safeguard their privacy.…”

Section: Related Researchmentioning

confidence: 99%

Safeguarding National Security Interests Utilizing Location-Aware Camera Devices

Sreejith¹,

Olmsted²

2022

Preprint

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The rapid advancement of technology has resulted in advanced camera capabilities coming to smaller form factors with improved energy efficiency. These improvements have led to more efficient and capable cameras on mobile devices like mobile phones, tablets, and even eyeglasses. Using these unobtrusive cameras, users can capture photographs and videos of almost any location where they have physical access. Unfortunately, the proliferation of highly compact cameras has threatened the privacy rights of individuals and even entire nations and governments. For example, governments may not want photographs or videos of sensitive installations or locations like airside operations of military bases or the inner areas of nuclear power plants to be captured for unapproved uses. In addition, solutions that obfuscate images in postprocessing are subject to threats that could siphon unprocessed data. Our work proposes a Global Positioning System-based approach to restrict the ability of smart cameras to capture and store images of sensitive areas.

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“…Вже зараз основні учасники цифровізації міського середовища збирають велику кількість персональної інформації про користувачів. Інакше кажучи, сучасний мешканець інформаційного простору залишає помітний "цифровий слід", що складається з різних фрагментів інформації, що зберігаються в різних базах даних [10]. Чим ближче до "розумного міста", тим більш розвиненою і інтегрованою буде інформаційна система, що зберігає в собі персональні дані, тим більше "цифрових слідів", тим простіше отримувати потрібні дані, тим вище ризик доксінгу.…”

Section: постановка проблемиunclassified

“…На основі аналізу рекомендацій Національного інституту стандартів і технологій США -SP 800-122 "Guide to Protecting the Confidentiality of Personally Identifiable Information (PII)" [39] та інших праць (наприклад: [40,41,10]) були вироблені наступні додаткові рекомендації щодо захисту персональних даних в інформаційних системах "розумних міст".…”

Section: основні рекомендації щодо захисту данихunclassified

Cybersecurity of "Smart Cities": Social Aspects, Risks of Deanonymization and Doxing

Boyko

Vasilenko

2020

MEC

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The paper analyzes possible risks and threats posed by the transition from modern cities to smart cities. The concept and scheme of doxing implementation are analyzed. Moreover, the essence of deanonymization is revealed and threats to the privacy and security of smart city residents associated with these processes are identified. Furthermore, the reasons for the growth of doxing practice are clarified. The social aspect of the cybersecurity of a smart city is seen primarily in the increased risks of privacy disclosure, which can lead to deanonymization, which can later be used for doxing, cyberbullying, blackmail or social engineering schemes. This demands that personal data must not only be protected by reliable cryptographic and technical measures but also - where it allows by work tasks - be specifically or partially impersonalised. Also, when planning personal data protection in smart city informational ecosystems, it should be considered that such protection will be existing in the context of an overall eco-information system of the city. Therefore, the one's always set priorities balanced between data protection, identify threats, measures and mechanisms for their implementation and daily routine tasks of system administration. The article analyzes cases and schemes of deanonymization, shows the vulnerability of modern information and communication systems to obtain data that can be used by an attacker. Based on the analysis and taking into account the specifics of the functioning of information ecosystems of smart cities, the main recommendations for protecting data stored in information systems are developed and systematized, which will reduce the risks of hacking such data and minimize harm from deanonymization and doxing. Finally, the authors proved that deanonymization is a sequential hacking process, and doxing is a hacking process and publishing private information. Such information can be obtained by collecting and analyzing open ("white"), stolen ("black") and stolen by third parties, but conditionally freely available ("Gray") sources of information. With the development of the smart city infrastructure, the amount of information collected, stored and processed will grow. This will lead to an increase in the "digital footprint" of every user of information system, that is, almost everyone who lives in the city.

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Generating Privacy Zones in Smart Cities

Cited by 6 publications

References 23 publications

Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework

Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework

Safeguarding National Security Interests Utilizing Location-Aware Camera Devices

Cybersecurity of "Smart Cities": Social Aspects, Risks of Deanonymization and Doxing

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