Generating evasive payloads for assessing Web Application Firewalls with Reinforcement Learning and Pre-trained Language Models

Android malware is increasingly becoming a serious security threat to users as the popularity of mobile phones continues to rise. The application of machine learning models for classifying Android malware has been widely used in related studies. However, machine learning models can outperform techniques utilizing Generative Adversarial Networks (GANs). This...

MAF-LLM: A Multi-Agent Framework Based on Large Language Models for Automated Ransomware Memory Forensics