Autonomous security analysis and penetration testing model based on attack graph and deep Q-learning network

Autonomous security analysis and penetration testing model based on attack graph and deep Q-learning network

With the continuous development and widespread application of network technology, network security issues have become increasingly prominent.Penetration testing has emerged as an important method for assessing and enhancing network security.However, traditional manual penetration testing methods suf...

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Bibliographic Details
Main Author: Cheng FAN, Guoqing HU, Taojie DING, Zhanhua ZHANG
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2023-12-01
Series:网络与信息安全学报
Subjects:
autonomous penetration testing
reinforcement learning
attack graph
deep q-learning network
Online Access:https://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2023091

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https://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2023091

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