Computer Network Information Security Vulnerability Detection Method Based on Isolated Forest Algorithm
In order to solve the problem of high false alarm rate of existing computer network security detection methods,this paper proposes computer network information security vulnerability detection method based on isolated forest algorithm.The data set of computer network information security is preprocessed,the sample noise is removed to clean the data,and the relative entropy between data features and categories is calculated.The network attack behavior is determined,the potential attack detection block of sub-forest is constructed,the threshold is set to determine whether the data entering the sliding window is abnormal data,and the computer network information security vulnerability detection is realized.The experimental results show that the recall accuracy of the experimental group is above 95％,and the Fl is above 0.68.This shows that this method can accurately identify vulnerabilities,improve the classification accuracy of vulnerabilities,and achieve good vulnerability detection results.
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