Detection and Prevention of Black Hole Attack and Sybil Attack in Vehicular Ad Hoc Networks

Intelligent Transportation Systems can play a valuable role in providing traffic control, road safety, and communications among vehicles. Vehicular Ad Hoc Network (VANET) is a network useful for providing communications between vehicles on road and is playing a predominant role in modern intelligent transportation systems. But the high mobility of vehicles in vanet and its inconsistent connections in the network make it highly susceptible to security threats to vehicles. The fiercest attacks in vanet are the Black Hole attack and the Sybil attack. In Black hole attack, the attacker vehicle, at the time of routing represents itself with the smallest and most desired route to the destination and hence communication with other legitimate nodes starts with this attacker node. Now the attacker vehicle can drop all the packets or send the information to other malicious vehicles. In Sybil attack the malicious vehicle sends fake alert message of high traffic to RSU and then RSU alerts other vehicles on the road of false high traffic with the intention of a malicious vehicle. The proposed algorithm in this research paper prevents the black hole attack and Sybil attack by using the encrypted identity of vehicles in the network making vanet secure from black hole attack and Sybil attack.