Personalized Privacy Protection of IoTs Using GAN-Enhanced Differential Privacy

Qu, Y; Gao, L; Yu, S; Xiang, Y

Personalized Privacy Protection of IoTs Using GAN-Enhanced Differential Privacy

Qu, Y Gao, L Yu, S

Xiang, Y

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Publisher:: Springer Nature Singapore
Publication Type:: Chapter
Citation:: SpringerBriefs in Computer Science, 2022, pp. 49-76
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Qu, Y
dc.contributor.author	Gao, L
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743
dc.contributor.author	Xiang, Y
dc.date.accessioned	2023-03-24T02:16:32Z
dc.date.available	2023-03-24T02:16:32Z
dc.date.issued	2022-01-01
dc.identifier.citation	SpringerBriefs in Computer Science, 2022, pp. 49-76
dc.identifier.isbn	9789811917967
dc.identifier.uri	http://hdl.handle.net/10453/168307
dc.description.abstract	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.
dc.language	en
dc.publisher	Springer Nature Singapore
dc.relation.ispartof	SpringerBriefs in Computer Science
dc.relation.isbasedon	10.1007/978-981-19-1797-4_4
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Personalized Privacy Protection of IoTs Using GAN-Enhanced Differential Privacy
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-24T02:16:31Z
pubs.publication-status	Published

Abstract:

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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http://hdl.handle.net/10453/168307