Abstract

Until recently vehicles and transportation systems were considered as the realm of mechanical engineers, but the need for the road safety and desire to be connected to the world, has broaden the industry scope. In order to do so Intelligent Transport System has been introduced and for few years, Vehicular Ad hoc Networks are getting much attention. The advance developments, wireless communication and life safety point towards to take into consideration the need of security in VANETs. In VANET, many attacks are possible and can cause serious damages to life. One such attack is Sybil attack. Sybil attacks have been regarded as a serious security threat to Ad hoc Networks and Sensor Networks. They may also damage the potential applications of Vehicular Ad hoc Networks (VANETs) by creating a deception of traffic congestion. Here we look on how the Sybil attack works and possible ways that an attacker can cause harm by launching these types of attacks in VANETS, along with the detection schemes that can be used to identify Sybil nodes and prevent the network from various hurtful effects.

Highlights

  • In large-scale peer-to-peer systems hostile or defective computing components poses serious security threats

  • In vehicular ad hoc networks a Sybil attacker can create a random number of virtual non-existent vehicles

  • These methods consist of a lightweight approach for detection and localization of Sybil nodes in Vehicular Ad hoc Networks (VANETs)

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Summary

Introduction

In large-scale peer-to-peer systems hostile or defective computing components poses serious security threats. Other vehicles fooled by this illusion choose an alternate route and withdraw from the road, giving the attacker a congestion-free resourceful (in terms of network bandwidth etc.) route All these fabricated vehicles remain under the control of attacker, so several other applications or network protocols may be affected by such attacks depending upon attackers’ intention. If a vehicle is using an application for early warning, and another vehicle two nodes ahead in the same row reduces its speed significantly or applied breaks, a broadcast message will be generated giving warning to the following vehicles This message if received by some Sybil node can hinder the forwarding process leaving the following vehicles at a great risk or threat. For the security protocol to be effective there is a need for a unique, distinct, and persistent identity per node

Effects of Sybil Attacks on Vehicular Ad Hoc Networks
Misbehavior Detection
Data Aggregation
Fair Resource Allocation
Voting
False Information
Detecting Sybil Attacks in VANETs
Radio Resource testing methods
Identification Resource Testing
Computational Resource Testing
Position Based Detection
Range-based
Verifier based mechanisms
RSSI Based Detection
Authentication and Public Key Based Detection Mechanisms
Foot printing
Time-stamp certificates
Proposed Model
Assumptions for the Model
Vehicle
Road Segments
Road Side Units
Certification Authority
Sensors
Proposed Framework
Detailed Process Implementation
Using Certificates in Vehicular Communication
Analysis
Packet Overhead
Processing time
Driver’s Privacy
Discussion
Conclusions
Full Text
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