Performance Analysis of Multi Phase Abnormal Node Detection Model for Sybil Attack in VANET

Vehicular Adhoc Networks (VANET) is a special type of adhoc networks. VANET uses vehicles as mobile nodes in the network. VANET turns the every participating vehicle into a wireless router or node allowing vehicles approximate 100 to 300 meters of each other. The police and fire brigade are connected with each other of safety purpose by VANETS. There are many security issues in VANET but in this work dealing with one of its major security issue i.e. the Sybil attack. Sybil attack is a malicious attack in which the attacker creates multiple identities and uses them to gain a disproportionately large influence. Sybil attack is very dangerous in which the attacker can play any kind of attack with the system and down the efficiency of VANET to a larger extent. These forge identities creates an imaginary appearance that there are additional vehicles on the road. For the prevention of Sybil attacks various strategies have been developed to prevent intruders from attacking the system. In this dissertation work the Multi Phase Abnormal Node Detection Model (MAND Model) is proposed to detect the malicious node. Model is in biphasic which detect malicious node by RSU at entry in the network as well as by the node at packet transmission time. The model is designed and implemented. The results are obtained. The results show that the MAND model gives very good results at low load on each node than the higher load on each node. At the low load model is capable to identify the 57.6% malicious nodes. The whole simulation is performed in MATLAB environment.