Cost-sensitive stacked auto-encoders for intrusion detection in the Internet of Things

Telikani, A Gandomi, AH

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Field	Value	Language
dc.contributor.author	Telikani, A
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2020-11-16T20:43:45Z
dc.date.available	2020-11-16T20:43:45Z
dc.date.issued	2020
dc.identifier.citation	Internet of Things, 2020, pp. 100122-100122
dc.identifier.issn	2542-6605
dc.identifier.uri	http://hdl.handle.net/10453/144062
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Internet of Things
dc.relation.isbasedon	10.1016/j.iot.2019.100122
dc.rights	Elsevier required licence: © 2020 . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. The definitive publisher version is available online at https://doi.org/10.1016/j.iot.2019.100122	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Cost-sensitive stacked auto-encoders for intrusion detection in the Internet of Things
dc.type	Journal Article
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/A/DRsch The Data Science Institute
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2020-11-16T20:43:38Z
pubs.publication-status	Published

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