Research on Cascaded Networks Security Posture Awareness under Vulnerability Prediction
The node reputation of cascaded networks present a large difference,and more random vulnerabilities will appear,which leads to a lower accuracy of security posture assessment.To improve the accuracy of security posture awareness of cascaded networks,the security posture awareness algorithm of cascaded networks under vulnerability prediction is proposed.The redundant security posture elements are filtered through Bloom filter,and the node reputation is calculated and updated based on probabilistic statistical theory to complete the data fusion processing.Innovatively,the number of future vulnerabilities is predicted in real time by the vulnerability prediction algorithm,and the global fusion processing is implemented with the predefined security policy.Based on the Bayesian attack graph collection,the attacker's subsequent attack behavior is predicted.Fusion of security posture elements and attack behavior prediction results and based on this to calculate the cascaded networks security posture,to realize the cascaded networks security posture awareness.Test results show that the proposed algorithm can accurately detect all the attacks in the networks,the number of alarms and the real number of alarms basically match and can obtain high-precision cascaded networks security posture cascaded fusion sensing results.The algorithm is effective and feasible in enhancing network security.
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