A Novel Attack Graph Posterior Inference Model Based on Bayesian Network
نویسندگان
چکیده
منابع مشابه
A Novel Attack Graph Posterior Inference Model Based on Bayesian Network
Network attack graphs are originally used to evaluate what the worst security state is when a concerned network is under attack. Combined with intrusion evidence such like IDS alerts, attack graphs can be further used to perform security state posterior inference (i.e. inference based on observation experience). In this area, Bayesian network is an ideal mathematic tool, however it can not be d...
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The perspective directions in evaluating network security are simulating possible malefactor’s actions, building the representation of these actions as attack graphs (trees, nets), the subsequent checking of various properties of these graphs, and determining security metrics which can explain possible ways to increase security level. The paper suggests a new approach to security evaluation bas...
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ژورنال
عنوان ژورنال: Journal of Information Security
سال: 2011
ISSN: 2153-1234,2153-1242
DOI: 10.4236/jis.2011.21002