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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2023

Autores

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

Revista

Título: Applied Sciences

Vol. 13

Página Final: 3830

Editora: MDPI

Indexação

ISI Web of Knowledge - 4 Citações

Scopus - 7 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 32