Proactive Malware Detection and Behavioral Analysis through an AI-Enhanced Cryptographic Framework
Today's malware is polymorphic, metamorphic, file-less and signature evasive. Although the classifiers based on machine learning (ML) and deep learning (DL) have seen great improvements in their ability to accurately detect attacks, they remain susceptible to adversarial perturbations, model-extraction attacks, and tra...