Solving large-scale extensive-form network security games via neural fictitious self-play

Solving large-scale extensive-form network security games via neural fictitious self-play

Securing networked infrastructures is important in the real world. The problem of deploying security resources to protect against an attacker in networked domains can be modeled as Network Security Games (NSGs). Unfortunately, existing approaches, including the deep learning-based approaches, are in...

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書目詳細資料
Main Authors:	XUE, Wanqi, ZHANG, Youzhi, LI, Shuxin, WANG, Xinrun, AN, Bo, YEO, Chai Kiat
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2021
主題:	Security and privacy computational sustainability Artificial Intelligence and Robotics Numerical Analysis and Scientific Computing Theory and Algorithms
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/9140 https://ink.library.smu.edu.sg/context/sis_research/article/10143/viewcontent/Solving_LargeScale_pvoa.pdf
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