Detection of Malicious Node in VANET

Abstract

Due to the fast mobility of vehicles, vehicular ad-hoc networks are currently a subject of research. The need of wireless network in Vehicular Communication led to the popularity of VANET. MANET is a superclass of VANET. These together contribute greatly to Intelligent Transportation System (ITS). Due to the rise in vehicles, efficient coordination between them has become necessary. There is no fixed topology in VANET, so the data transfer in dynamic node distribution, particularly time-variant node distribution should be tended to. Risk of interfere of messages, eavesdropping, spamming, masquerading’s are various misbehaviors in VANET. Every communication will be squeezed if any node is acting maliciously and creating attacks in the network. These security issues can be solved via different trust models among vehicular transmission. It is real-time and requires strict analysis as a small error can be fatal. In VANET, there are a number of parameters to consider for analytical study for traffic data analysis, driving services, knowledge services and user communications. VANETs are most vulnerable to attacks on their availability – the Black-hole attack. The malicious nodes can even be legitimate users. Therefore, encryption and authentication may not be adequate to protect against this attack. Therefore, we have proposed this paper in order to secure VANETs from this type of attack.