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Network Security Situational Awareness(NSSA) has been a hot research in the network security domain.The amount of data from network attacks from Intrusion Detection System (IDS),and hosts'vulnerabilities and the hosts'states is very large.If we use the large amount of data as the NSSA elements directly,the algorithm of data processing must collapse or use a very long time. So in this paper,a method...
Network security situational awareness(NSSA) has been a hot research spot in the network security domain. In this paper, a quantification method for NSSA based on conditional random fields(CRFs) was proposed. The data of network attacks from intrusion detection system (IDS), the hosts' vulnerabilities and the hosts' states were firstly combined as the network security factors. And then the network...
This thesis puts forward a method of CRFs (Conditional Random Fields) based on feature sets in network intrusion detection. This method takes advantages of the CRFs models which can stitch to sequence data marking and add random attributes. It uses varied connection information and its relativity in network connection information data sequence as well as the feature sets relativity to attack detection...
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