Privacy Preservation in IoT: Machine Learning Approaches, A Comprehensive Survey and Use Cases

Qu, Y Gao, L Yu, S

Xiang, Y

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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	2023-03-24T04:18:19Z
dc.date.available	2023-03-24T04:18:19Z
dc.date.issued	2022
dc.identifier.citation	2022
dc.identifier.isbn	9789811917967
dc.identifier.uri	http://hdl.handle.net/10453/168331
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartofseries	SpringerBriefs in Computer Science
dc.relation.isbasedon	10.1007/978-981-19-1797-4
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Privacy Preservation in IoT: Machine Learning Approaches, A Comprehensive Survey and Use Cases
dc.type	Book
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	2023-03-24T04:18:18Z
pubs.publication-status	Published

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