Research on Vulnerability Detection Algorithm and Application Based on Graph Neural Network(GNN)
To improve the accuracy of vulnerability detection and enhance the security of software operation,a vulnerability detection algorithm based on graph neural network(GNN)is proposed,and its specific application effect is analyzed On this basis,graph neural networks(GNNs)are used to classify features and output vulnerability detection results The results indicate that the proposed vulnerability detection algorithm can more accurately identify real vulnerabilities and reduce the situation of mislabeling normal code as vulnerabilities.
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