A Zero-Trust Framework Based on Machine Learning for Industrial Internet of Things

Atieh, A; Nanda, P; Mohanty, M

A Zero-Trust Framework Based on Machine Learning for Industrial Internet of Things

Atieh, A Nanda, P

Mohanty, M

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: 2024 17th International Conference on Security of Information and Networks (SIN), 2024, 00, pp. 1-8
Issue Date:: 2024-12-04

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Full metadata record

Field	Value	Language
dc.contributor.author	Atieh, A
dc.contributor.author	Nanda, P https://orcid.org/0000-0002-5748-155X
dc.contributor.author	Mohanty, M
dc.date	2024-12-02
dc.date.accessioned	2025-04-24T05:55:48Z
dc.date.available	2025-04-24T05:55:48Z
dc.date.issued	2024-12-04
dc.identifier.citation	2024 17th International Conference on Security of Information and Networks (SIN), 2024, 00, pp. 1-8
dc.identifier.uri	http://hdl.handle.net/10453/187037
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	2024 17th International Conference on Security of Information and Networks (SIN)
dc.relation.ispartof	2024 17th International Conference on Security of Information and Networks (SIN)
dc.relation.isbasedon	10.1109/sin63213.2024.10871833
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A Zero-Trust Framework Based on Machine Learning for Industrial Internet of Things
dc.type	Conference Proceeding
utslib.citation.volume	00
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 Electrical and Data Engineering
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/The Trustworthy Digital Society
utslib.copyright.status	open_access	*
dc.date.updated	2025-04-24T05:55:47Z
pubs.finish-date	2024-12-04
pubs.publication-status	Published
pubs.start-date	2024-12-02
pubs.volume	00

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http://hdl.handle.net/10453/187037