The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks

Zhu, T; Li, J; Hu, X; Xiong, P; Zhou, W

The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks

Zhu, T Li, J Hu, X Xiong, P Zhou, W

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Transactions on Knowledge and Data Engineering, 2022, 34, (6), pp. 2962-2974
Issue Date:: 2022-06-01

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Field	Value	Language
dc.contributor.author	Zhu, T
dc.contributor.author	Li, J
dc.contributor.author	Hu, X
dc.contributor.author	Xiong, P
dc.contributor.author	Zhou, W https://orcid.org/0000-0002-1680-2521
dc.date.accessioned	2023-03-13T05:25:32Z
dc.date.available	2023-03-13T05:25:32Z
dc.date.issued	2022-06-01
dc.identifier.citation	IEEE Transactions on Knowledge and Data Engineering, 2022, 34, (6), pp. 2962-2974
dc.identifier.issn	1041-4347
dc.identifier.issn	1558-2191
dc.identifier.uri	http://hdl.handle.net/10453/167143
dc.description.abstract	Networks that constantly transmit information and change structure are becoming increasingly prevalent. However, traditional privacy models are designed to protect static information, such as records in a database or a person's profile information, which seldom changes. This conflict between static models and dynamic environments is dramatically hindering the effectiveness and efficiency of privacy preservation in today's dynamic world. Hence, in this paper, we formally define the concept of dynamic privacy, present two novel perspectives, privacy propagation and accumulation, on the way private information can spread through dynamic cyberspace, and develop associated theories and mechanisms for preserving privacy in advanced complex networks, such as social networking sites where data are constantly being released, shared, and exchanged.
dc.language	English
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation	http://purl.org/au-research/grants/arc/DP190100981
dc.relation.ispartof	IEEE Transactions on Knowledge and Data Engineering
dc.relation.isbasedon	10.1109/TKDE.2020.3015835
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences
dc.subject.classification	Information Systems
dc.title	The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks
dc.type	Journal Article
utslib.citation.volume	34
utslib.for	08 Information and Computing Sciences
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	*
pubs.consider-herdc	false
dc.date.updated	2023-03-13T05:25:00Z
pubs.issue	6
pubs.publication-status	Accepted
pubs.volume	34
utslib.citation.issue	6

Abstract:

Networks that constantly transmit information and change structure are becoming increasingly prevalent. However, traditional privacy models are designed to protect static information, such as records in a database or a person's profile information, which seldom changes. This conflict between static models and dynamic environments is dramatically hindering the effectiveness and efficiency of privacy preservation in today's dynamic world. Hence, in this paper, we formally define the concept of dynamic privacy, present two novel perspectives, privacy propagation and accumulation, on the way private information can spread through dynamic cyberspace, and develop associated theories and mechanisms for preserving privacy in advanced complex networks, such as social networking sites where data are constantly being released, shared, and exchanged.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/167143