Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Dan Dongseong Kim, Hyuk Lim, Frederica Free-Nelson. EVADE: Efficient Moving Target Defense for Autonomous Network Topology Shuffling Using Deep Reinforcement Learning. In Mehdi Tibouchi, Xiaofeng Wang 0006, editors, Applied Cryptography and Network Security - 21st International Conference, ACNS 2023, Kyoto, Japan, June 19-22, 2023, Proceedings, Part I. Volume 13905 of Lecture Notes in Computer Science, pages 555-582, Springer, 2023. [doi]
@inproceedings{ZhangCMKLF23,
title = {EVADE: Efficient Moving Target Defense for Autonomous Network Topology Shuffling Using Deep Reinforcement Learning},
author = {Qisheng Zhang and Jin-Hee Cho and Terrence J. Moore and Dan Dongseong Kim and Hyuk Lim and Frederica Free-Nelson},
year = {2023},
doi = {10.1007/978-3-031-33488-7_21},
url = {https://doi.org/10.1007/978-3-031-33488-7_21},
researchr = {https://researchr.org/publication/ZhangCMKLF23},
cites = {0},
citedby = {0},
pages = {555-582},
booktitle = {Applied Cryptography and Network Security - 21st International Conference, ACNS 2023, Kyoto, Japan, June 19-22, 2023, Proceedings, Part I},
editor = {Mehdi Tibouchi and Xiaofeng Wang 0006},
volume = {13905},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-33488-7},
}