Zero Trust-NIDS: Extended Multi-View Approach for Network Trace Anonymization and Auto-Encoder CNN for Network Intrusion Detection

Nanda, P

Alalmaie, A

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Field	Value	Language
dc.contributor.author	Nanda, P https://orcid.org/0000-0002-5748-155X
dc.contributor.author	Alalmaie, A
dc.date	2022-10-28
dc.date.accessioned	2023-02-20T00:27:12Z
dc.date.available	2023-02-20T00:27:12Z
dc.date.issued	2022-10-28
dc.identifier.citation	IEEE, 2022
dc.identifier.uri	http://hdl.handle.net/10453/166257
dc.language	en
dc.relation.ispartof	IEEE
dc.relation.ispartof	IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Zero Trust-NIDS: Extended Multi-View Approach for Network Trace Anonymization and Auto-Encoder CNN for Network Intrusion Detection
dc.type	Conference Proceeding
utslib.location.activity	Wuhan, China
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/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
utslib.copyright.embargo	2024-10-28T00:00:00+1000Z
dc.date.updated	2023-02-20T00:27:11Z
pubs.finish-date	2022-10-30
pubs.publication-status	Published
pubs.start-date	2022-10-28

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