Enabling Obfuscation Detection in Binary Software through eXplainable AI

Created using ChatSlide

This presentation explores the challenge of detecting obfuscated binaries using explainable AI (XAI) approaches. It discusses binary obfuscation techniques, their role in malware evolution, and the knowledge gap in cross-architecture detection. Leveraging large-scale binary datasets and static code analysis, machine learning models are deployed to achieve high detection accuracy. Key contributions include integrating XAI with machine learning for interpretability, cross-platform analysis...