5 citations · 7 across the 4 of their papers we have counts for
4 papers
Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations
Cheng Wang, Christopher Redino, Ryan Clark +8
Ransomware presents a significant and increasing threat to individuals and organizations by encrypting their systems and not releasing them until a large fee has been extracted. To…
Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning
Cheng Wang, Christopher Redino, Abdul Rahman +5
Command and control (C2) channels are an essential component of many types of cyber attacks, as they enable attackers to remotely control their malware-infected machines and execut…
Enhancing Exfiltration Path Analysis Using Reinforcement Learning
Riddam Rishu, Akshay Kakkar, Cheng Wang +7
Building on previous work using reinforcement learning (RL) focused on identification of exfiltration paths, this work expands the methodology to include protocol and payload consi…
Cross-temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach
Sathvik Murli, Dhruv Nandakumar, Prabhat Kumar Kushwaha +6
We present a novel approach to identify ransomware campaigns derived from attack timelines representations within victim networks. Malicious activity profiles developed from multip…