Ransomware Detection Using AES-Simulated Infections and Machine Learning Techniques
Ransomware compromises system integrity by encrypting files to demand payment, resulting in significant operational and financial losses. While machine learning methods using Format-Preserving Encryption (FPE) have been proposed for detection, their real-world applicability is limited as threat actors typically employ stronger encryption techniques. This research addresses this gap by developing a machine learning-based algorithm trained … Read more