Abstract
In order to improve the low accuracy of the traditional algorithm, a quantitative land state network situation awareness algorithm based on neutral statistics is proposed. According to the definition of neutral statistical awareness algorithm, the quantitative awareness model of land state cyberspace situation is constructed from the perspectives of attack event and security vulnerability awareness, security situation modeling and associated threat assessment. Determine the malicious nodes, analyze the state function, and design a quantitative perception process. From the simulation results, we can see that the method proposed in this paper can fully adapt to various information processing work, and has the advantages of low computational complexity, short evaluation time, high evaluation accuracy, and the algorithm situation quantitative is basically consistent with the actual value, the error is also less than 0.1, which has good practical application effect.
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