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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Bibliografische Detailangaben
1. Verfasser:	Cheng FAN, Guoqing HU, Taojie DING, Zhanhua ZHANG
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	POSTS&TELECOM PRESS Co., LTD 2023-12-01
Schriftenreihe:	网络与信息安全学报
Schlagworte:	autonomous penetration testing reinforcement learning attack graph deep q-learning network
Online-Zugang:	https://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2023091
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Autonomous security analysis and penetration testing model based on attack graph and deep Q-learning network

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