ARisk Estimation Framework for Security Threats in Computer Networks

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Rezaee Razieh; GHAEMI BAFGHI ABBAS

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Journal Paper

Paper Information

Journal: JOURNAL OF COMPUTING AND SECURITY Year:2020 | Volume:7 | Issue:1 Page(s): 19-33

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Title

ARisk Estimation Framework for Security Threats in Computer Networks

Author(s)

Rezaee Razieh | GHAEMI BAFGHI ABBAS | Issue Writer Certificate

Keywords

Security Threat

Analysis Model

Computer Networks

Risk Estimation

Attack Graph

Bayesian Network

Abstract

In security risk management of Computer Networks, some challenges are more serious in large networks. Specifying and estimating risks is largely dependent on the knowledge of security experts. In this paper, a framework for security Risk Estimation is proposed to address this issue. It represents the security knowledge required for security Risk Estimation and utilizes current security metrics and vulnerability databases. This framework is a major step towards automating the process of security Risk Estimation so that a network administrator can estimate the risk of the network with less expertise and e ort. As a case study, the proposed framework is applied to a sample network to show its applicability and usability in operational environments. The comparison of results with two existing methods showed the validity of the estimations given by the proposed framework.

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APA: Copy

Rezaee, Razieh, & GHAEMI BAFGHI, ABBAS. (2020). ARisk Estimation Framework for Security Threats in Computer Networks. JOURNAL OF COMPUTING AND SECURITY, 7(1), 19-33. SID. https://sid.ir/paper/341707/en

Vancouver: Copy

Rezaee Razieh, GHAEMI BAFGHI ABBAS. ARisk Estimation Framework for Security Threats in Computer Networks. JOURNAL OF COMPUTING AND SECURITY[Internet]. 2020;7(1):19-33. Available from: https://sid.ir/paper/341707/en

IEEE: Copy

Razieh Rezaee, and ABBAS GHAEMI BAFGHI, “ARisk Estimation Framework for Security Threats in Computer Networks,” JOURNAL OF COMPUTING AND SECURITY, vol. 7, no. 1, pp. 19–33, 2020, [Online]. Available: https://sid.ir/paper/341707/en

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