Deception defense method against intelligent penetration attack

The intelligent penetration attack based on reinforcement learning aims to model the penetration process as a Markov decision process, and train the attacker to optimize the penetration path in a trial-and-error manner, so as to achieve strong attack performance.In order to prevent intelligent penet...

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Bibliografiske detaljer

Principais autores:	Jinyin CHEN, Shulong HU, Changyou XING, Guomin ZHANG
Format:	Artigo
Sprog:	Chinês
Udgivet:	Editorial Department of Journal on Communications 2022-10-01
Serier:	Tongxin xuebao
Fag:	reinforcement learning;intelligent penetration attack;attack path;deception defense
Online adgang:	http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2022202
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