Identifying Vulnerable GitHub Repositories and Users in Scientific Cyberinfrastructure: An Unsupervised Graph Embedding Approach
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Scientific research teams lean heavily on GitHub to share code, but public repositories can leak secrets and expose insecure code. This study uses social-network analysis and graph machine learning to map relationships among GitHub users and repositories and cluster those with similar vulnerabilities, finding that high-impact genomics projects were prone to leaked secrets and insecure coding.
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Benjamin M. Ampel
Assistant Professor in Computer Information Systems and Director, Center for CyberAI Research (CCAIR)
My research focuses on AI-enabled Cybersecurity, including Cyber Threat Intelligence, Large Language Models, and Phishing Detection.