DocumentCode
2015385
Title
Extended Abstract: Access Graph Based Risk Analysis for Network Information System
Author
Xiao, Xiaochun ; Zhang, Tiange ; Zhang, Gendu
Author_Institution
Sch. of Compute Sci., Fudan Univ., Shanghai, China
fYear
2008
fDate
13-15 Dec. 2008
Firstpage
129
Lastpage
132
Abstract
Currently, the risk analysis for network Information system has experienced a stage from rule-based questionnaire investigation to model-based assessment. Many graph-based models have been proposed and applied to risk analysis. Attack Graph is widely used one. But attack graphs grow exponentially with the size of the network. In this paper, we propose a comprehensive framework for network vulnerabilities modeling and risk analysis based on the access graph. As a complement to the attack graph approach, the access graph is host-centric approach, which grows polynomially with the number of hosts and so has the benefit of being computationally feasible on large networks. Compared with related works, our approach improves in both performance and computational cost.
Keywords
computer networks; graph theory; information systems; risk analysis; security of data; access graph based risk analysis; attack graph approach; host-centric approach; model-based assessment; network information system security; network vulnerability modeling; Access control; Algorithm design and analysis; Computational efficiency; Computational modeling; Computer networks; Data structures; Information security; Information systems; Polynomials; Risk analysis; access graph; network security; risk analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Security Technology, 2008. SECTECH '08. International Conference on
Conference_Location
Hainan Island
Print_ISBN
978-0-7695-3486-2
Type
conf
DOI
10.1109/SecTech.2008.18
Filename
4725360
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