Ryan Clark

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Situational Awareness

Command And Control

Reinforcement Learning

Top Venues

Publications

Cheng Wang, Akshay Kakkar, Christopher Redino, Abdul Rahman, Ajinsyam S, Ryan Clark, Daniel Radke, Tyler Cody, Lanxiao Huang, Edward Bowen
Discovering Command and Control Channels Using Reinforcement Learning. CoRR (2024)
Cheng Wang, Christopher Redino, Abdul Rahman, Ryan Clark, Daniel Radke, Tyler Cody, Dhruv Nandakumar, Edward Bowen
Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning. CoRR (2024)
Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal Aguinaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel Radke, Edward Bowen
Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations. CoRR (2024)
Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen
Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CAMLIS (2023)
Perushan Kunalakantha, Andrea Vallecillo Baires, Siddharth Dave, Ryan Clark, Gabriel Chianelli, Regina S. K. Lee
Stratospheric Night Sky Imaging Payload for Space Situational Awareness (SSA). Sensors 23 (14) (2023)
Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen
Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CoRR (2023)
Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. CoRR (2022)
Siddharth Dave, Ryan Clark, Regina S. K. Lee
RSOnet: An Image-Processing Framework for a Dual-Purpose Star Tracker as an Opportunistic Space Surveillance Sensor. Sensors 22 (15) (2022)
Ryan Clark, Thomas E. Doyle
A Priori Quantification of Transfer Learning Performance on Time Series Classification for Cyber-Physical Health Systems. CCECE (2022)
Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. DSC (2022)
Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark, Christopher Redino
Using Cyber Terrain in Reinforcement Learning for Penetration Testing. COINS (2022)
Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. CoRR (2022)
Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. ICMLA (2022)
Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark
Using Cyber Terrain in Reinforcement Learning for Penetration Testing. CoRR (2021)
Rohit Gangupantulu, Tyler Cody, Abdul Rahma, Christopher Redino, Ryan Clark, Paul Park
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs. SSCI (2021)
Rohit Gangupantulu, Tyler Cody, Abdul Rahman, Christopher Redino, Ryan Clark, Paul Park
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs. CoRR (2021)
Ryan Clark, Yanchun Fu, Siddharth Dave, Regina Lee
Simulation of RSO Images for Space Situation Awareness (SSA) Using Parallel Processing. Sensors 21 (23) (2021)
Ryan Clark, Mohammadreza Heydarian, Kashif Siddiqui, Sajjad Rashidiani, Md Asif Khan, Thomas E. Doyle
Detecting Cardiac Abnormalities with Multi-Lead ECG Signals: A Modular Network Approach. CinC (2021)