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Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks

arXiv 2205.13763 ↗First posted 27 May 2022cs.AIcited by 0

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Abstract (arXiv)

In the literature of modern network security research, deriving effective and efficient course-of-action (COA) attach search methods are of interests in industry and academia. As the network size grows, the traditional COA attack search methods can suffer from the limitations to computing and communication resources. Therefore, various methods have been developed to solve these problems, and reinforcement learning (RL)-based intelligent algorithms are one of the most effective solutions. Therefore, we review the RL-based COA attack search methods for network attack scenarios in terms of the trends and their contrib

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References · 16

  1. 2017Proximal Policy Optimization Algorithmscited by 14,441
  2. 2016Asynchronous Methods for Deep Reinforcement Learningcited by 2,218
  3. 2017Overcoming Exploration in Reinforcement Learning with Demonstrationscited by 322
  4. 2020Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applicationscited by 62
  5. 2019Autonomous Penetration Testing using Reinforcement Learningcited by 33
  6. 2021Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementationcited by 23
  7. 2021Deep hierarchical reinforcement agents for automated penetration testingcited by 19
  8. 2021Using Cyber Terrain in Reinforcement Learning for Penetration Testingcited by 16
  9. 2013POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testingcited by 14
  10. 2013Penetration Testing == POMDP Solving?cited by 9
  11. 2019Markov Decision Policies for Dynamic Video Delivery in Wireless Caching Networkscited by 8
  12. 2022Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphscited by 8
4 more
  1. 2018Wireless Video Caching and Dynamic Streaming under Differentiated Quality Requirementscited by 7
  2. 2022Behaviour-Diverse Automatic Penetration Testing: A Curiosity-Driven Multi-Objective Deep Reinforcement Learning Approachcited by 7
  3. 2021Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehiclescited by 2
  4. 2021Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulationscited by 1

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