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https://hdl.handle.net/10316/95682
Título: | A survey of privacy-preserving mechanisms for heterogeneous data types | Autor: | Cunha, Mariana Mendes, Ricardo Vilela, João P. |
Palavras-chave: | Heterogeneous data types; Privacy; Privacy taxonomy; Privacy tools; Privacy-preserving mechanisms | Data: | 2021 | Projeto: | CENTRO-01-0247-FEDER-045929 SFRH/BD/128599/2017 |
Título da revista, periódico, livro ou evento: | Computer Science Review | Volume: | 41 | Resumo: | 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. | URI: | https://hdl.handle.net/10316/95682 | ISSN: | 15740137 | DOI: | 10.1016/j.cosrev.2021.100403 | Direitos: | openAccess |
Aparece nas coleções: | I&D CISUC - Artigos em Revistas Internacionais |
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Ficheiro | Descrição | Tamanho | Formato | |
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1-s2.0-S1574013721000435-main.pdf | 1.13 MB | Adobe PDF | Ver/Abrir |
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