Optimal temporospatial strategy selection approach to moving target defense: A FlipIt differential game model-Reference-Cited by-同舟云学术

Optimal temporospatial strategy selection approach to moving target defense: A FlipIt differential game model

Published:2021-09 Issue: Volume:108 Page:102342
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Tan Jinglei,Zhang Hengwei^ORCID,Zhang Hongqi,Hu Hao,Lei Cheng,Qin Zhenxiang^ORCID

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference35 articles.

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4. Eghtesad, T., Vorobeychik, Y., Laszka, A.Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense [J].

5. A signaling game model for moving target defense [C] IEEE INFOCOM 2017 - IEEE Conference on Computer Communications;Feng,2017

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