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DQ-MOTAG: Deep Reinforcement Learning-based Moving Target Defense Against DDoS Attacks
2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC)
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10.1109/dsc50466.2020.00065
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2020
◽
Author(s):
Xinzhong Chai
◽
Yasen Wang
◽
Chuanxu Yan
◽
Yuan Zhao
◽
Wenlong Chen
◽
...
Keyword(s):
Reinforcement Learning
◽
Moving Target
◽
Ddos Attacks
◽
Moving Target Defense
Download Full-text
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References
Reinforcement learning based self-adaptive moving target defense against DDoS attacks
Journal of Physics Conference Series
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10.1088/1742-6596/1812/1/012039
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2021
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Vol 1812
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Author(s):
Chungang Gao
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Yongjie Wang
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Reinforcement Learning
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FastMove: Fast IP switching Moving Target Defense to mitigate DDOS Attacks
2021 IEEE Conference on Dependable and Secure Computing (DSC)
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10.1109/dsc49826.2021.9346278
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2021
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Author(s):
Nahid Bandi
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Hesam Tajbakhsh
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Morteza Analoui
Keyword(s):
Moving Target
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Ddos Attacks
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Moving Target Defense
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Adversarial Deep Reinforcement Learning Based Adaptive Moving Target Defense
Lecture Notes in Computer Science - Decision and Game Theory for Security
◽
10.1007/978-3-030-64793-3_4
◽
2020
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pp. 58-79
Author(s):
Taha Eghtesad
◽
Yevgeniy Vorobeychik
◽
Aron Laszka
Keyword(s):
Reinforcement Learning
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Moving Target
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Moving Target Defense
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Moving target defense for in-vehicle software-defined networking: IP shuffling in network slicing with multiagent deep reinforcement learning
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II
◽
10.1117/12.2557850
◽
2020
◽
Author(s):
Seunghyun Yoon
◽
Jin-Hee Cho
◽
Dong Seong Kim
◽
Terrence J. Moore
◽
Frederica F. Nelson
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...
Keyword(s):
Reinforcement Learning
◽
Software Defined Networking
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Moving Target
◽
Network Slicing
◽
Moving Target Defense
Download Full-text
Moving Target Defense against DDoS Attacks
Proceedings of the 2016 ACM Workshop on Moving Target Defense - MTD'16
◽
10.1145/2995272.2995279
◽
2016
◽
Cited By ~ 14
Author(s):
Mason Wright
◽
Sridhar Venkatesan
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Massimiliano Albanese
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Michael P. Wellman
Keyword(s):
Moving Target
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Ddos Attacks
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Cost-effective moving target defense against DDoS attacks using trilateral game and multi-objective Markov decision processes
Computers & Security
◽
10.1016/j.cose.2020.101976
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2020
◽
Vol 97
◽
pp. 101976
Author(s):
Yuyang Zhou
◽
Guang Cheng
◽
Shanqing Jiang
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Yuyu Zhao
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Zihan Chen
Keyword(s):
Markov Decision Processes
◽
Cost Effective
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Decision Processes
◽
Moving Target
◽
Ddos Attacks
◽
Moving Target Defense
◽
Multi Objective
◽
Markov Decision
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Mitigating Stealthy Link Flooding DDoS Attacks Using SDN-Based Moving Target Defense
10.25148/etd.fidc009010
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2020
◽
Author(s):
Abdullah Aydeger
Keyword(s):
Moving Target
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Ddos Attacks
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Moving Target Defense
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DESOLATER: Deep Reinforcement Learning-based Resource Allocation and Moving Target Defense Deployment Framework
IEEE Access
◽
10.1109/access.2021.3076599
◽
2021
◽
pp. 1-1
Author(s):
Seunghyun Yoon
◽
Jin-Hee Cho
◽
Dan Dongseong Kim
◽
Terrence J. Moore
◽
Frederica Free-Nelson
◽
...
Keyword(s):
Resource Allocation
◽
Reinforcement Learning
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Moving Target
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Moving Target Defense
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A moving target defense approach to mitigate DDoS attacks against proxy-based architectures
2016 IEEE Conference on Communications and Network Security (CNS)
◽
10.1109/cns.2016.7860486
◽
2016
◽
Cited By ~ 18
Author(s):
Sridhar Venkatesan
◽
Massimiliano Albanese
◽
Kareem Amin
◽
Sushil Jajodia
◽
Mason Wright
Keyword(s):
Moving Target
◽
Ddos Attacks
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Moving Target Defense
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DIVERGENCE: Deep Reinforcement Learning-based Adaptive Traffic Inspection and Moving Target Defense Countermeasure Framework
IEEE Transactions on Network and Service Management
◽
10.1109/tnsm.2021.3139928
◽
2022
◽
pp. 1-1
Author(s):
Sunghwan Kim
◽
Seunghyun Yoon
◽
Jin-Hee Cho
◽
Dong Seong Kim
◽
Terrence J. Moore
◽
...
Keyword(s):
Reinforcement Learning
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Moving Target
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Moving Target Defense
Download Full-text
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