Detecting Sybil Attack in Vehicular Ad-hoc Networks (Vanets) by Using Fitness Function, Signal Strength Index and Throughput

2021 ◽  
Author(s):  
Seyed Salar Sefati ◽  
Sara Ghiasi Tabrizi
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Fitness Function ◽  
Signal Strength ◽  
Sybil Attack ◽  
Strength Index ◽  
Hoc Networks

scholarly journals An Efficient Implementation of a Method to Detect Sybil Attacks in Vehicular Ad hoc Networks using Received Signal Strength Indicator

2019 ◽  
Vol 9 (1) ◽  
pp. 2796-2800
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Sybil Attack ◽  
Received Signal Strength Indicator ◽  
Smart Transportation ◽  
Vehicle Communication ◽  
Hoc Networks

Vehicular Ad Hoc Networks (VANET) are useful in implementing a smart transportation system by enabling ad hoc vehicle to vehicle communication. Sybil attack is considered to be one of the most dangerous threats to VANET. Sybil aggressor can produce different phony personalities with false messages to extremely hinder the ordinary elements of wellbeing related applications. In this paper, we are presenting an implementation of a method to detect Sybil attack using received signal strength indicator.

scholarly journals Sybil Attack Detection in Vehicular Ad-hoc Networks using Direct Trust Calculation

2020 ◽  
Vol 9 (10) ◽  
pp. 67-73
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Attack Detection ◽  
Sybil Attack ◽  
Trust Value ◽  
The Road ◽  
Direct Trust ◽  
Detection Ratio ◽  
Hoc Networks

Vehicular Ad-hoc Networks (VANETs) are gaining rapid momentum with the increasing number of vehicles on the road. VANETs are ad-hoc networks where vehicles exchange information about the traffic, road conditions to each other or to the road-side infrastructures. VANETs are characterized by high mobility and dynamic topology changes due to the high-speed vehicles in the network. These characteristics pose security challenges as vehicles can be conceded. It is critical to address security for the sake of protecting private data of vehicle and to avoid flooding of false data which defeats the purpose of VANETs. Sybil attack is one of the attacks where a vehicle fakes multiple vehicle identity to compromise the whole network. In this work, a direct trust manager is introduced which derives the trust value of each of its neighbor nodes at a regular interval of time. If the trust value is deviated, it confirms sybil attack. The proposed system is compared with the existing system to prove improved sybil attack detection ratio, thus providing better security. NS2 environment is used to prove the simulation results. The experimental results show that the attack detection ratio of SAD-V-DTC is 5 times better than that of the existing system. The packet delivery ratio shows an improvement of 27.27% while the false positive shows a good increase of 65.80% than the existing system.

A Taxonomy of Sybil Attacks in Vehicular Ad-Hoc Network (VANET)

2020 ◽  
pp. 174-190 ◽  
Author(s):  
Nirbhay Kumar Chaubey ◽  
Dhananjay Yadav
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Sybil Attack ◽  
Communication Architecture ◽  
The Road ◽  
Security Issues ◽  
On The Road ◽  
Hoc Networks ◽  
Sybil Attacks

Vehicular ad hoc networks (VANETs) are a class of ad hoc networks in which vehicle communicate with each other to show the traffic situation and any mishappening on the road. VANET is vulnerable to a number of attacks due to its infrastructure-less nature. One of these attacks is the Sybil attack. Security of data dissemination in VANET is very crucial, otherwise any mishappening can occur on road. Sybil attack is very difficult to be defended and detected, especially when it is launched by some conspired attackers using their legitimate identities, and this has become a growing research interest in VANETs in past few years. This chapter studies various dimension of VANETs including its structure, communication architecture, security issues, and critical review of technique to detect Sybil attacks.

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