Improvement of Sybil Attack Detection in Vehicular Ad-Hoc Networks using Cross-layerand Fuzzy Logic

Nowadays Vehicular Ad-Hoc Networks(VANETs)are very popular and significantlyused,due totheiruniqueabilities to improve road safety. As a consequence, the security of these networks is of great importance and it has become one of the central topicsin scientific and research fields such as information exchange. Sybil attack isone of the challenges forAd-Hoc networks security. In this paper, a cross-layerapproachand fuzzy logic method areused to detect theSybil attacks. The proposed fuzzy logic method hasfour inputsform different OSI layers: entry time to the network, a number of neighbors, buffersizeand signal to noise ratio. These inputs are imported to several membership functions of the fuzzy logic methods and the simulation results indicatethatthe proposed solution provides a robust technique in Sybil attack detection