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Journal ArticleDOI

Privacy, Security and Data Protection in Smart Cities: A Critical EU Law Perspective

Lilian Edwards
- 15 Mar 2016 - 
- Vol. 2, Iss: 1, pp 28-58
TLDR
In this article, the authors argue that smart cities combine the three greatest current threats to personal privacy, with which regulation has so far failed to deal effectively; the Internet of Things(IoT) or "ubiquitous computing"; "Big Data" ; and the Cloud.
Abstract
"Smart cities" are a buzzword of the moment. Although legal interest is growing, most academic responses at least in the EU, are still from the technological, urban studies, environmental and sociological rather than legal, sectors and have primarily laid emphasis on the social, urban, policing and environmental benefits of smart cities, rather than their challenges, in often a rather uncritical fashion . However a growing backlash from the privacy and surveillance sectors warns of the potential threat to personal privacy posed by smart cities . A key issue is the lack of opportunity in an ambient or smart city environment for the giving of meaningful consent to processing of personal data; other crucial issues include the degree to which smart cities collect private data from inevitable public interactions, the "privatisation" of ownership of both infrastructure and data, the repurposing of “big data” drawn from IoT in smart cities and the storage of that data in the Cloud. This paper, drawing on author engagement with smart city development in Glasgow as well as the results of an international conference in the area curated by the author, argues that smart cities combine the three greatest current threats to personal privacy, with which regulation has so far failed to deal effectively; the Internet of Things(IoT) or "ubiquitous computing"; "Big Data" ; and the Cloud. It seeks solutions both from legal institutions such as data protection law and from "code", proposing in particular from the ethos of Privacy by Design, a new "social impact assessment" and new human:computer interactions to promote user autonomy in ambient environments.

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Journal ArticleDOI

Privacy preservation in blockchain based IoT systems: Integration issues, prospects, challenges, and future research directions

TL;DR: The privacy issues caused due to integration of blockchain in IoT applications by focusing over the applications of the authors' daily use are discussed, and implementation of five privacy preservation strategies in blockchain-based IoT systems named as anonymization, encryption, private contract, mixing, and differential privacy are discussed.
Journal ArticleDOI

Privacy in the Smart City—Applications, Technologies, Challenges, and Solutions

TL;DR: This work systematize the application areas, enabling technologies, privacy types, attackers, and data sources for the attacks, giving structure to the fuzzy term “smart city.”
Journal ArticleDOI

Forgetting personal data and revoking consent under the GDPR: Challenges and proposed solutions

TL;DR: This work reviews all controversies around the new stringent definitions of consent revocation and the right to be forgotten and argues that such enforcement is indeed feasible provided that implementation guidelines and low-level business specifications are put in place in a clear and cross-platform manner in order to cater for all possible exceptions and complexities.
Journal ArticleDOI

(Smart) citizens from data providers to decision-makers? The case study of Barcelona

Igor Calzada
- 30 Sep 2018 - 
TL;DR: In the context of the General Data Protection Regulation (GDPR) taking effect in the European Union (EU), a debate emerged about the role of citizens and their relationship with data as mentioned in this paper.
Journal ArticleDOI

Personalized Privacy Assistants for the Internet of Things: Providing Users with Notice and Choice

TL;DR: This article summarizes ongoing research to develop and field privacy assistants designed to empower people to regain control over their privacy in the Internet of Things and proposes personalized privacy assistants capable of selectively informing their users about the data practices they actually care about and of helping them configure associated privacy settings.