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Title: A survey of privacy-preserving mechanisms for heterogeneous data types
Authors: Cunha, Mariana
Mendes, Ricardo 
Vilela, João P. 
Keywords: Heterogeneous data types; Privacy; Privacy taxonomy; Privacy tools; Privacy-preserving mechanisms
Issue Date: 2021
Project: CENTRO-01-0247-FEDER-045929 
Serial title, monograph or event: Computer Science Review
Volume: 41
Abstract: Due to the pervasiveness of always connected devices, large amounts of heterogeneous data are continuously being collected. Beyond the benefits that accrue for the users, there are private and sensitive information that is exposed. Therefore, Privacy-Preserving Mechanisms (PPMs) are crucial to protect users’ privacy. In this paper, we perform a thorough study of the state of the art on the following topics: heterogeneous data types, PPMs, and tools for privacy protection. Building from the achieved knowledge, we propose a privacy taxonomy that establishes a relation between different types of data and suitable PPMs for the characteristics of those data types. Moreover, we perform a systematic analysis of solutions for privacy protection, by presenting and comparing privacy tools. From the performed analysis, we identify open challenges and future directions, namely, in the development of novel PPMs.
ISSN: 15740137
DOI: 10.1016/j.cosrev.2021.100403
Rights: openAccess
Appears in Collections:I&D CISUC - Artigos em Revistas Internacionais

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