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Personalized Privacy Protection of IoTs Using GAN-Enhanced Differential Privacy

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posted on 2022-01-01, 00:00 authored by Y Qu, Longxiang GaoLongxiang Gao, S Yu, Yong XiangYong Xiang
The cyber-physical social system (CPSS), as an extension of Internet of Things (IoT), maps human social interaction from cyberspace to the physical world by data sharing and posting, such as publishing spatial-temporal data, images, videos, etc. The published data contains individual’s sensitive information, and thereby leads to continues attacks on it. Nowadays, most existing research assumes that the privacy protection should be uniform that all parties share a same privacy protection level. This impractical assumption results in data degradation due to over-protection or privacy leakage due to under-protection.

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Language

eng

Publication classification

B1 Book chapter

Extent

7

Editor/Contributor(s)

Qu Y, Gao L, Yu S, Xiang Y

Chapter number

4

Pagination

49-76

ISSN

2191-5768

eISSN

2191-5776

ISBN-13

978-981-19-1797-4

Publisher

SpringerLink

Place of publication

Singapore

Title of book

Privacy Preservation in IoT: Machine Learning Approaches

Series

SpringerBriefs in Computer Science

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