Intelligent Reputation System for Safety Messages in VANET

TL;DR

This paper proposes an Intelligent Reputation System for VANETs that enhances safety by identifying malicious vehicles through trust analysis and a multi-parameter Greedy Best First algorithm, outperforming existing systems.

Contribution

Introduction of an innovative reputation system utilizing opinion, trust, and traffic analysis with a Greedy Best First algorithm for VANET security.

Findings

System improves VANET safety and message reliability.

Outperforms existing reputation systems.

Effectively identifies misbehaving vehicles.

Abstract

Nowadays, Vehicle Ad - hoc Nets (VANET) applications have become very important in our lives because VANET provides drivers with safety messages, warnings, and instructions to ensure drivers have a safe and enjoyable journey. VANET Security is one of the hottest topics in computer networks research, Falsifying VANET system information violates VANET safety objectives and may lead to hazardous situations and loss of life. In this paper, an Intelligent Reputation System (IRS) aims to identify attacking vehicles will be proposed; the proposed system will rely on opinion generation, trust value collection, traffic analysis, position based, data collection, and intelligent decision making by utilizing the multi-parameter Greedy Best First algorithm. The results of this research will enhance VANET's safety level and will facilitate the identification of misbehaving vehicles and their messages. The results of the proposed system have also proven to be superior to other reputational systems.