A survey of privacy-preserving mechanisms for heterogeneous data types

Terrance Frederick Fernandez; E. Dhilip Kumar

doi:10.53730/ijhs.v6nS4.9409

A survey of privacy-preserving mechanisms for heterogeneous data types

https://doi.org/10.53730/ijhs.v6nS4.9409

Authors

Terrance Frederick Fernandez Associate Professor, Department of Information Technology, Dhanalakshmi Srinivasan College of Engineering and Technology
E. Dhilip Kumar Assistant Professor, Department of Computer Applications, Dhanalakshmi Srinivasan College of Engineering and Technology

Keywords:

privacy, privacy taxonomy, privacy-preserving mechanisms, heterogeneous data types, privacy tools

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.

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Published

21-06-2022

How to Cite

Fernandez, T. F., & Kumar, E. D. (2022). A survey of privacy-preserving mechanisms for heterogeneous data types. International Journal of Health Sciences, 6(S4), 5692–5700. https://doi.org/10.53730/ijhs.v6nS4.9409

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Issue

Vol. 6 No. S4 (2022)

Section

Peer Review Articles

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