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We propose a graph neural network vulnerability mining system based on hybrid semantics, which constructs a composite semantic code property graph for code representation based on the causes of vulnerabilities.

The paper constructs a source code snippets vulnerability mining system named PyVul based on deep learning to automatically detect the security of code snippets in the open source community.

In this work, we present HackerRank, an automatic method for identifying key hackers. HackerRank combines the advantages of content analysis and social network analysis.

In view of the disadvantages of the existing logistics system in the market in user privacy protection,a privacy protection scheme based on QR code segmentation encryption,hierarchical authorization and time-limited control was proposed.