Guarding Organizations against Malware Risk: A Novel Graph-Based Malware Detection Method

Organizational digitalization expands cybersecurity risks, making cybersecurity an increasingly important research area in Information Systems IS. Among these risks, malware has become a pervasive and destructive threat. Byte-based machine learning ML methods are widely used for malware detection...

LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection

Malicious Python packages have become a major threat to software supply chain ecosystems due to the widespread adoption of open-source repositories such as PyPI. Existing learning-based detection methods struggle to capture the hierarchical organization and heterogeneous interactions among...