Detecting compromised IoT devices: Existing techniques, challenges, and a way forward

Makhdoom, I; Abolhasan, M; Franklin, D; Lipman, J; Zimmermann, C; Piccardi, M; Moghadam, NS

Detecting compromised IoT devices: Existing techniques, challenges, and a way forward

Makhdoom, I

Abolhasan, M Franklin, D

Lipman, J

Zimmermann, C Piccardi, M

Moghadam, NS

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Computers & Security, 2023, 132, pp. 103384
Issue Date:: 2023-09

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Field	Value	Language
dc.contributor.author	Makhdoom, I https://orcid.org/0000-0002-6205-5897
dc.contributor.author	Abolhasan, M
dc.contributor.author	Franklin, D https://orcid.org/0000-0002-9563-5943
dc.contributor.author	Lipman, J https://orcid.org/0000-0003-2877-1168
dc.contributor.author	Zimmermann, C
dc.contributor.author	Piccardi, M https://orcid.org/0000-0001-9250-6604
dc.contributor.author	Moghadam, NS
dc.date.accessioned	2023-07-25T04:24:35Z
dc.date.available	2023-07-25T04:24:35Z
dc.date.issued	2023-09
dc.identifier.citation	Computers & Security, 2023, 132, pp. 103384
dc.identifier.issn	0167-4048
dc.identifier.uri	http://hdl.handle.net/10453/171646
dc.language	en
dc.publisher	Elsevier
dc.relation	Food Agility CRC Limited
dc.relation.ispartof	Computers & Security
dc.relation.isbasedon	10.1016/j.cose.2023.103384
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	08 Information and Computing Sciences
dc.subject.classification	Strategic, Defence & Security Studies
dc.subject.classification	4604 Cybersecurity and privacy
dc.title	Detecting compromised IoT devices: Existing techniques, challenges, and a way forward
dc.type	Journal Article
utslib.citation.volume	132
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/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2025-07-01T00:00:00+1000Z
dc.date.updated	2023-07-25T04:24:32Z
pubs.publication-status	Accepted
pubs.volume	132

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http://hdl.handle.net/10453/171646