Automated Association Analysis Method of Network Security Vulnerability Type Based on Knowledge Graph
The conventional automated association analysis method for network security vulnerability types mainly uses EVM to calculate,store,and read vulnerability data,which is easily affected by changes in the programming language of smart contracts,resulting in poor performance of association analysis.Therefore,it is necessary to design a new automated association analysis method for network security vulnerability types based on knowledge graphs.This method utilizes knowledge graphs to automatically match the characteristics of network security vulnerabilities,achieving automated correlation analysis of network security vulnerability types.The results show that the designed method has good analytical performance,high reliability,and certain application value.
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