Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning-Reference-Cited by-同舟云学术

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

Published:2024-03-15 Issue: Volume:32 Page:427-433
ISSN:
Container-title:SoutheastCon 2024
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Author:

Wang Cheng¹,Redino Christopher¹,Rahman Abdul¹,Clark Ryan¹,Radke Daniel¹,Cody Tyler²,Nandakumar Dhruv¹,Bowen Edward¹

Affiliation:

1. Deloitte & Touche LLP

2. Virginia Tech

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10500015/10500024/10500045.pdf?arnumber=10500045

Reference41 articles.

1. Using cyber terrain in reinforcement learning for penetration testing;Gangupantulu;Submitted ACM ASIACCS 2022,2021

2. Crown Jewels Analysis using Reinforcement Learning with Attack Graphs

3. Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs

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

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic reinforcement learning for network defense: botnet detection and eradication;Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI;2024-06-07

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