Graph representation learning and software homology matching based A study of JAVA code vulnerability detection techniques

In nowadays using different tools and apps is a basic need of people's behavior in life, but the security issues arising from the existence of source code plagiarism among tools and apps are likely to bring huge losses to companies and even countries, so detecting the existence of vulnerabilities or malicious code in software becomes an important part of protecting information and detecting software security. This project is based on the aspect of JAVA code vulnerability detection based on graph representation learning and software homology comparison to carry out research. This project will be based on the content of deep learning, using a large number of vulnerable source code, extracting its features, and transforming it into a graph so that it can be tested source code for comparison and report the vulnerability content.