Identifying propagation source in time-varying networks

Jiang, J; Wen, S; Yu, S; Liu, B; Xiang, Y; Zhou, W

Identifying propagation source in time-varying networks

Jiang, J Wen, S Yu, S

Liu, B

Xiang, Y Zhou, W

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Publication Type:: Chapter
Citation:: Advances in Information Security, 2019, 73 pp. 117 - 137
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Jiang, J	en_US
dc.contributor.author	Wen, S	en_US
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743	en_US
dc.contributor.author	Liu, B https://orcid.org/0000-0002-3603-6617	en_US
dc.contributor.author	Xiang, Y	en_US
dc.contributor.author	Zhou, W https://orcid.org/0000-0002-1680-2521	en_US
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	Advances in Information Security, 2019, 73 pp. 117 - 137	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137329
dc.description.abstract	© Springer Nature Switzerland AG 2019. Identifying the propagation sources of malicious attacks in complex networks plays a critical role in limiting the damage caused by them through the timely quarantine of the sources. However, the temporal variation in the topology of the underlying networks and the ongoing dynamic processes challenge our traditional source identification techniques which are considered in static networks. In this chapter, we introduce an effective approach used in criminology to overcome the challenges. For simplicity, we use rumor source identification to present the approach.	en_US
dc.relation.ispartof	Advances in Information Security	en_US
dc.relation.isbasedon	10.1007/978-3-030-02179-5_10	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Identifying propagation source in time-varying networks	en_US
dc.type	Chapter
utslib.citation.volume	73	en_US
pubs.embargo.period	Not known	en_US
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	*
pubs.publication-status	Published	en_US
pubs.volume	73	en_US

Abstract:

© Springer Nature Switzerland AG 2019. Identifying the propagation sources of malicious attacks in complex networks plays a critical role in limiting the damage caused by them through the timely quarantine of the sources. However, the temporal variation in the topology of the underlying networks and the ongoing dynamic processes challenge our traditional source identification techniques which are considered in static networks. In this chapter, we introduce an effective approach used in criminology to overcome the challenges. For simplicity, we use rumor source identification to present the approach.

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http://hdl.handle.net/10453/137329