Identifying multiple propagation sources

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

Identifying multiple propagation sources

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. 139 - 157
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. 139 - 157	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137326
dc.description.abstract	© Springer Nature Switzerland AG 2019. The global diffusion of epidemics, computer viruses and rumors causes great damage to our society. One critical issue to identify the multiple diffusion sources so as to timely quarantine them. However, most methods proposed so far are unsuitable for diffusion with multiple sources because of the high computational cost and the complex spatiotemporal diffusion processes. In this chapter, we introduce an effective method to identify multiple diffusion sources, which can address three main issues in this area: (1) How many sources are there? (2) Where did the diffusion emerge? (3) When did the diffusion break out? 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_11	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Identifying multiple propagation sources	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. The global diffusion of epidemics, computer viruses and rumors causes great damage to our society. One critical issue to identify the multiple diffusion sources so as to timely quarantine them. However, most methods proposed so far are unsuitable for diffusion with multiple sources because of the high computational cost and the complex spatiotemporal diffusion processes. In this chapter, we introduce an effective method to identify multiple diffusion sources, which can address three main issues in this area: (1) How many sources are there? (2) Where did the diffusion emerge? (3) When did the diffusion break out? For simplicity, we use rumor source identification to present the approach.

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http://hdl.handle.net/10453/137326