Multi-Channel Based Sybil Attack Detection in Vehicular Ad Hoc Networks Using RSSI
The main aim of this project is to detect Sybil Attack in VANET (Vehicular Ad Hoc Network) using RSSI (Received Signal Strength Indicator).
In Existing System Protocols can be classified into three categories: Resource testing based, trusted certification based, Position verification based mechanisms. The resource testing based methods may become invalid if the malicious node has more computation or communication resources, and they bring extra overhead to the system. Most of the trusted certification based methods run the detection algorithms in a centralized manner which are not suitable for the VANETs due to the fast changing dynamic topology. In addition, the deployment of public key infrastructure and the high complexity of cryptographic algorithms are also uncertain issues in this type of methods.
In proposed system we are implementing a novel Sybil attack detection method, Voiceprint to conduct a widely applicable, lightweight and full-distributed detection for VANETs. Unlike most of previous RSSI-based methods that compute the absolute position or relative distance according to the average RSSI values, or make statistic testing based on RSSI distributions, Voiceprint compares the RSSI time series as the vehicular speech.