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Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach
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  • yuntao wang ,
  • Zhou Su ,
  • Abderrahim Benslimane ,
  • Qichao Xu ,
  • Minghui Dai ,
  • Ruidong Li
yuntao wang
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Abderrahim Benslimane
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Qichao Xu
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Minghui Dai
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Ruidong Li
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Abstract

This paper proposes an optimal and feasible incentive mechanism to promote collaborative defense for UAVs by sharing their captured threat data in local honeypots.
2023Published in IEEE Transactions on Information Forensics and Security on pages 1-1. 10.1109/TIFS.2023.3318942