A Robust Eco-Routing Protocol Against Malicious Data in Vehicular Networks

TL;DR

This paper addresses the challenge of false data in vehicular networks affecting eco-routing, proposing defense mechanisms to ensure data integrity and maintain optimal traffic management performance.

Contribution

It introduces novel defense mechanisms that filter malicious data in vehicular eco-routing systems, restoring their efficiency and reliability.

Findings

Proposed mechanisms effectively filter malicious data.

Restores eco-routing performance to near optimal levels.

Applicable to similar traffic management systems.

Abstract

Vehicular networks have a diverse range of applications that vary from safety, to traffic management and comfort. Vehicular communications (VC) can assist in the ecorouting of vehicles in order to reduce the overall mileage and CO2 emissions by the exchange of data among vehicle-entities. However, the trustworthiness of these data is crucial as false information can heavily affect the performance of applications. Hence, the devising of mechanisms that reassure the integrity of the exchanged data is of utmost importance. In this article we investigate how tweaked information originating from malicious nodes can affect the performance of a real time eco routing mechanism that uses DSRC communications, namely ErouVe. We also develop and evaluate defense mechanisms that exploit vehicular communications in order to filter out tweaked data. We prove that our proposed mechanisms can restore the performance of the ErouVe to near its optimal operation and can be used as a basis for protecting other similar traffic management systems.