Raijū: Reinforcement Learning-Guided Post-Exploitation for Automating Security Assessment of Network Systems

no code implementations • 27 Sep 2023 • Van-Hau Pham, Hien Do Hoang, Phan Thanh Trung, Van Dinh Quoc, Trong-Nghia To, Phan The Duy

The agents automatically select actions and launch attacks on the environments and achieve over 84\% of successful attacks with under 55 attack steps given.

Reinforcement Learning (RL)

On the Effectiveness of Adversarial Samples against Ensemble Learning-based Windows PE Malware Detectors

no code implementations • 25 Sep 2023 • Trong-Nghia To, Danh Le Kim, Do Thi Thu Hien, Nghi Hoang Khoa, Hien Do Hoang, Phan The Duy, Van-Hau Pham

Our proposed FeaGAN model is built based on MalGAN by incorporating an RL model called the Deep Q-network anti-malware Engines Attacking Framework (DQEAF).

Ensemble Learning Malware Analysis +2