A Fuzzy Reward and Punishment Scheme for Vehicular Ad Hoc Networks

Trust management is an important security approach for the successful implementation of Vehicular Ad Hoc Networks (VANETs). models evaluate messages to assign reward or punishment. This can be used influence a driver’s future behaviour. In author’s previous work, sender-side based trust framework developed which avoids receiver evaluation messages. However, this does not guarantee that trusted driver will lie. These “untrue attacks” are resolved by RSUs using collaboration rule on dispute, providing fixed amount and The lack sophistication addressed in paper with novel fuzzy RSU controller considering severity incident, past behaviour, confidence determine punishment conflicted drivers. Although any lie situation, it expected trustworthy drivers more likely remain so, vice versa. behaviour captured Markov chain model sender reporter where their lying characteristics depend score state. Each state defines likelihood different probability distribution. An extensive simulation performed performance assessment examine changing initial all some Veins simulator. schemes compared, result shows scheme encourage improve