Collecting, Processing and Secondary Using Personal and (Pseudo)Anonymized Data in Smart Cities

• Type: Article in International Scientific Journal
• Date: 2023

Authors

Sampaio, S (Author) Other; Sousa, PR (Author) Other; Martins, C (Author) Other; ferreira, a (Author) FMUP; antunes, l (Author) FCUP; Ricardo Cruz Correia (Author) FMUP

Journal

Title: Applied Sciences

Vol. 13

Final page: 3830

Publisher: MDPI

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 7 Citations

Other information

Authenticus ID: P-00Y-3DQ

DOI: 10.3390/app13063830

Abstract (EN): Smart cities, leveraging IoT technologies, are revolutionizing the quality of life for citizens. However, the massive data generated in these cities also poses significant privacy risks, particularly in de-anonymization and re-identification. This survey focuses on the privacy concerns and commonly used techniques for data protection in smart cities, specifically addressing geolocation data and video surveillance. We categorize the attacks into linking, predictive and inference, and side-channel attacks. Furthermore, we examine the most widely employed de-identification and anonymization techniques, highlighting privacy-preserving techniques and anonymization tools; while these methods can reduce the privacy risks, they are not enough to address all the challenges. In addition, we argue that de-identification must involve properties such as unlikability, selective disclosure and self-sovereignty. This paper concludes by outlining future research challenges in achieving complete de-identification in smart cities.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 32