Daniel Radke

According to our database, Daniel Radke authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• 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

Analyzing Passing Metrics in Ice Hockey using Puck and Player Tracking Data.

David Radke, Jaxin Lu, Jackson Woloschuk, Tin Le, Daniel Radke, Charlie Liu, Tim Brecht

Proceedings of the Linköping Hockey Analytics Conference 2023 Research Track, 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

Identifying Completed Pass Types and Improving Passing Lane Models.

David Radke, Tim Brecht, Daniel Radke

Proceedings of the Linköping Hockey Analytics Conference 2022 Research Track, 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

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

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

2020

Beyond Measurement: Extracting Vegetation Height from High Resolution Imagery with Deep Learning.

David Radke, Daniel Radke, John Radke

Remote. Sens., 2020