Adaptive Q‐Learning Trust Management Algorithm for Malicious Node Detection in VANETs
A new trust‐based model for trust management in VANETs is introduced, which is a fully decentralized, modified Q‐Learning approach, and enables dynamic assessments of trust for vehicles (nodes), increases overall network security and trust, and increases the reliability of the data in the network.