# Enhanced Position Verification for VANETs using Subjective Logic

## TL;DR

This paper enhances position verification in VANETs by applying subjective logic to fuse multiple mechanisms, improving detection of misbehavior and validating position information effectively across various traffic conditions.

## Contribution

It introduces a generalized framework using subjective logic to fuse position verification mechanisms, improving misbehavior detection in VANETs.

## Key findings

- Framework performs comparably to existing methods in accuracy.
- Effective across different traffic densities and attacker types.
- No need for specific tailoring to particular use cases.

## Abstract

The integrity of messages in vehicular ad-hoc networks has been extensively studied by the research community, resulting in the IEEE~1609.2 standard, which provides typical integrity guarantees. However, the correctness of message contents is still one of the main challenges of applying dependable and secure vehicular ad-hoc networks. One important use case is the validity of position information contained in messages: position verification mechanisms have been proposed in the literature to provide this functionality. A more general approach to validate such information is by applying misbehavior detection mechanisms. In this paper, we consider misbehavior detection by enhancing two position verification mechanisms and fusing their results in a generalized framework using subjective logic. We conduct extensive simulations using VEINS to study the impact of traffic density, as well as several types of attackers and fractions of attackers on our mechanisms. The obtained results show the proposed framework can validate position information as effectively as existing approaches in the literature, without tailoring the framework specifically for this use case.