Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach

Author:

Wang Yuntao1ORCID,Su Zhou1ORCID,Benslimane Abderrahim2ORCID,Xu Qichao3ORCID,Dai Minghui4ORCID,Li Ruidong5ORCID

Affiliation:

1. School of Cyber Science and Engineering, Xi’an Jiaotong University, China

2. Laboratory of Computer Sciences, Avignon University, France

3. School of Mechatronic Engineering and Automation, Shanghai University, China

4. State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China

5. Department of Electrical and Computer Engineering, Kanazawa University, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analytical game strategies for active UAV defense considering response delays;Defence Technology;2024-07

2. Consistency of Stackelberg and Nash Equilibria in Three-Player Leader-Follower Games;IEEE Transactions on Information Forensics and Security;2024

3. Auction-Based Dynamic Resource Allocation in Social Metaverse;2023 19th International Conference on Mobility, Sensing and Networking (MSN);2023-12-14

4. Privacy-Preserving Trainer Recruitment in Model Marketplace of Federated Learning;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14

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