JOURNAL ARTICLE

Research on Network Security Risk Assessment Method Based on Bayesian Reasoning

Abstract

To accurately assess the vulnerability of computer networks, the paper proposes a BNAG model and vulnerability assessment algorithm. Firstly, a new attack graph model is proposed, as well as the E-Loop algorithm, which is used for solving the loop problem in the attack graph. Secondly, to disentangle the confused node relationship during the attack graph conversion process, an algorithm is designed to generate a Bayesian network attack graph model BNAG. Finally, to obtain the reachability of the path, the metrics such as node attack difficulty and node state transition is introduced, and the corresponding algorithm is given. Based on this, the posterior probability is calculated.

Keywords:
Reachability Computer science Bayesian network Node (physics) Graph Theoretical computer science Vulnerability assessment Network security Path (computing) Vulnerability (computing) Algorithm Data mining Artificial intelligence Computer security Computer network

Metrics

4
Cited By
0.00
FWCI (Field Weighted Citation Impact)
14
Refs
0.12
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Information and Cyber Security
Physical Sciences →  Computer Science →  Information Systems
Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Malware Detection Techniques
Physical Sciences →  Computer Science →  Signal Processing
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