Preliminary of identifying propagation sources

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

Preliminary of identifying 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. 65 - 67
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. 65 - 67	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137313
dc.description.abstract	© Springer Nature Switzerland AG 2019. This chapter provides some primary knowledge about identifying propagation sources of malicious attacks. We first introduce different types of observations about the propagation of malicious attacks. Then, we present the maximum-likelihood estimation method adopted by many approaches in this research area. We finally introduce the evaluation metrics for source identification.	en_US
dc.relation.ispartof	Advances in Information Security	en_US
dc.relation.isbasedon	10.1007/978-3-030-02179-5_5	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Preliminary of identifying 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. This chapter provides some primary knowledge about identifying propagation sources of malicious attacks. We first introduce different types of observations about the propagation of malicious attacks. Then, we present the maximum-likelihood estimation method adopted by many approaches in this research area. We finally introduce the evaluation metrics for source identification.

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http://hdl.handle.net/10453/137313