GaDQN-IDS: A Novel Self-Adaptive IDS for VANETs Based on Bayesian Game Theory and Deep Reinforcement Learning

Due to the nature of high mobility and dynamic network topology, Intrusion Detection Systems (IDSs) in Vehicular Ad-hoc Networks (VANETs) face lots of challenges, especially in balancing the accuracy and efficiency of detection. Current researches about the deployment of IDSs in VANETs mainly focus...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2022-08, Vol.23 (8), p.12724-12737
Main Authors: Liang, Junwei, Ma, Maode, Tan, Xu
Format: Article
Language:English
Subjects:
Bayes methods
Bayesian analysis
Deep learning
DQN-adjustment
Efficiency
EPL
GaDQN-IDS
Game theory
Games
IDSs
Intrusion detection
Intrusion detection systems
Machine learning
Mobile ad hoc networks
Monitoring
Nash equilibria
Network topologies
Road conditions
Roads
Tradeoffs
VANETs
Vehicle dynamics
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