GAIL-PT: An intelligent penetration testing framework with generative adversarial imitation learning-Reference-Cited by-同舟云学术

GAIL-PT: An intelligent penetration testing framework with generative adversarial imitation learning

Published:2023-03 Issue: Volume:126 Page:103055
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Chen Jinyin^ORCID,Hu Shulong,Zheng Haibin,Xing Changyou^ORCID,Zhang Guomin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference59 articles.

1. Guest editors’ introduction: why attacking systems is a good idea;Arce;IEEE Secur. Priv.,2004

2. Software penetration testing;Arkin;IEEE Secur. Priv.,2005

3. A survey of inverse reinforcement learning: challenges, methods and progress;Arora;Artif. Intell.,2021

4. Berner C., Brockman G., Chan B., Cheung V., Debiak P., Dennison C., Farhi D., Fischer Q., Hashme S., Hesse C., et al. Dota 2 with large scale deep reinforcement learning. 2019. ArXiv preprint arXiv:1912.06680

5. Machine learning cyberattack and defense strategies;Bland;Comput. Secur.,2020

Cited by 16 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. Raiju: Reinforcement learning-guided post-exploitation for automating security assessment of network systems;Computer Networks;2024-11

2. A Red Teaming Framework for Securing AI in Maritime Autonomous Systems;Applied Artificial Intelligence;2024-09-04

3. SoK: A Comparison of Autonomous Penetration Testing Agents;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

4. Bridging the Gap: A Survey and Classification of Research-Informed Ethical Hacking Tools;Journal of Cybersecurity and Privacy;2024-07-16

5. An Intelligent Penetration Testing Method Using Human Feedback;IEEE Transactions on Industrial Informatics;2024-07