Abdulbasid S. Banga

Proactive zero-day malware evolution forecasting via self-supervised multi-view contrastive representation learning and hybrid generative modeling

Zero-day malware continues to pose a significant challenge in cybersecurity, primarily due to the rapid development of polymorphic and metamorphic variants that evade traditional detection methods based on signatures or machine learning (ML). Most existing ML approaches are reactive, identifying specific malware famili...