Ryan Clark

According to our database, Ryan Clark authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning.

Cheng Wang, Christopher Redino, Abdul Rahman, Ryan Clark, Daniel Radke, Tyler Cody, Dhruv Nandakumar, Edward Bowen

CoRR, 2024

Discovering Command and Control Channels Using Reinforcement Learning.

Cheng Wang, Akshay Kakkar, Christopher Redino, Abdul Rahman, Ajinsyam S, Ryan Clark, Daniel Radke, Tyler Cody, Lanxiao Huang, Edward Bowen

CoRR, 2024

Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations.

Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal Aguinaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel Radke, Edward Bowen

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

2023

Stratospheric Night Sky Imaging Payload for Space Situational Awareness (SSA).

Perushan Kunalakantha, Andrea Vallecillo Baires, Siddharth Dave, Ryan Clark, Gabriel Chianelli, Regina S. K. Lee

Sensors, July, 2023

Enhancing Exfiltration Path Analysis Using Reinforcement Learning.

Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen

Proceedings of the Conference on Applied Machine Learning in Information Security, 2023

2022

RSOnet: An Image-Processing Framework for a Dual-Purpose Star Tracker as an Opportunistic Space Surveillance Sensor.

Siddharth Dave, Ryan Clark, Regina S. K. Lee

Sensors, 2022

Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain.

Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs.

Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

Using Cyber Terrain in Reinforcement Learning for Penetration Testing.

Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark, Christopher Redino

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

A Priori Quantification of Transfer Learning Performance on Time Series Classification for Cyber-Physical Health Systems.

Ryan Clark, Thomas E. Doyle

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

2021

Simulation of RSO Images for Space Situation Awareness (SSA) Using Parallel Processing.

Ryan Clark, Yanchun Fu, Siddharth Dave, Regina S. K. Lee

Sensors, 2021

Using Cyber Terrain in Reinforcement Learning for Penetration Testing.

Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark

CoRR, 2021

Crown Jewels Analysis using Reinforcement Learning with Attack Graphs.

Rohit Gangupantulu, Tyler Cody, Abdul Rahman, Christopher Redino, Ryan Clark, Paul Park

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Detecting Cardiac Abnormalities with Multi-Lead ECG Signals: A Modular Network Approach.

Ryan Clark, Mohammadreza Heydarian, Kashif Siddiqui, Sajjad Rashidiani, Md. Asif Khan, Thomas E. Doyle

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021