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The research proposed an approach that based on domain partitional Markov decision process to make decisions about the protection and defense against cyber attacks. We partitioned the network into several security domains. Markov decision models were made in each domain, with each state established by situational awareness. Strategy sets were set according to the system states. Cost-benefit factors...
Intention recognition is the ability to predict an opposing force's high level goals. Knowing an attacker's intention can support the decision-making of the network security administrators. Threat assessment based on intention analysis is an important part of network security situation awareness. So how to recognize attack intention and assess threat has become a research hot in network security domain...
In order to remedy defects of the current network security evaluation systems, a novel evaluation algorithm, called quantitative network security situation evaluation based on the classification of attacks, is presented. Using this method, the traditional risk assessment is combined with network environment factors such as the network running status, asset security characteristic etc., and several...
Knowing an attackerpsilas intentions can significantly improve the effectiveness of a decision-making system. However, recognition such intentions and the attackerpsilas intended plans for achieving them is not an easy task because there are too many uncertain and dynamic factors in network environment. In this paper, intrusive intention recognition using dynamic Bayesian network is proposed to cope...
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