Security threat probability computation using Markov Chain and Common Vulnerability Scoring System

Le, NT; Hoang, DB

Security threat probability computation using Markov Chain and Common Vulnerability Scoring System

Le, NT

Hoang, DB

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Publication Type:: Conference Proceeding
Citation:: 2018 28th International Telecommunication Networks and Applications Conference, ITNAC 2018, 2019
Issue Date:: 2019-01-16

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Field	Value	Language
dc.contributor.author	Le, NT https://orcid.org/0000-0003-0019-0345	en_US
dc.contributor.author	Hoang, DB https://orcid.org/0000-0003-1798-4926	en_US
dc.date.available	2020-11-22T18:05:15Z
dc.date.issued	2019-01-16	en_US
dc.identifier.citation	2018 28th International Telecommunication Networks and Applications Conference, ITNAC 2018, 2019	en_US
dc.identifier.isbn	9781538671771	en_US
dc.identifier.uri	http://hdl.handle.net/10453/128859
dc.description.abstract	© 2018 IEEE. Security metrics have become essential for assessing the security risks and making effective decisions concerning system security. Many security metrics rely on mathematical models, but are mainly based on empirical data, qualitative method, or compliance checking and this renders the outcome far from accurate. This paper proposes a novel approach to compute the probability distribution of cloud security threats based on Markov chain and Common Vulnerability Scoring System (CVSS). The paper gives an application on cloud systems to demonstrate the use of the proposed approach.	en_US
dc.relation.ispartof	2018 28th International Telecommunication Networks and Applications Conference, ITNAC 2018	en_US
dc.relation.isbasedon	10.1109/ATNAC.2018.8615386	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Security threat probability computation using Markov Chain and Common Vulnerability Scoring System	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	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 Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Security metrics have become essential for assessing the security risks and making effective decisions concerning system security. Many security metrics rely on mathematical models, but are mainly based on empirical data, qualitative method, or compliance checking and this renders the outcome far from accurate. This paper proposes a novel approach to compute the probability distribution of cloud security threats based on Markov chain and Common Vulnerability Scoring System (CVSS). The paper gives an application on cloud systems to demonstrate the use of the proposed approach.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/128859