Using Contextual Reinforcement Learning to Design FANET Defence Protocols to Combat Grey Hole Attacks
Author:
Affiliation:
1. University of Southampton,School of Electronics and Computer Science,UK
Funder
UK Research and Innovation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10574855/10574897/10575177.pdf?arnumber=10575177
Reference16 articles.
1. Flexible, Portable, and Practicable Solution for Routing in VANETs: A Fuzzy Constraint Q-Learning Approach
2. Survey on UAANET Routing Protocols and Network Security Challenges;Maxa,2017
3. PACKET DROP ATTACK: A SERIOUS THREAT TO OPERATIONAL MOBILE AD HOC NETWORKS;Varadharajan
4. Impact of Gray hole attack on adhoc networks
5. Enhanced data security in MANET using trust‐based Bayesian statistical model with RSSI by AOMDV
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