In the face of the rapidly evolving malware landscape, traditional detection methods encounter a formidable challenge due to critical vulnerabilities arising from biased training datasets skewed ...

The widespread adoption of encryption in computer networks has made detecting malicious traffic, especially at network perimeters, increasingly challenging. As packet contents are concealed, ...

Microsoft unveils Project Ire, an autonomous AI system that reverse-engineers software to detect and block malware without human input.

🛡️ Malware Detection Using Machine Learning 📌 Project Overview This project implements a graph‑based machine learning framework to detect malware in Windows Portable Executable (PE) files.