The estimated angle of arrival and the estimated distance using path loss model are proposed as new features to use for detection mechanism. When an attacker ...

This work aims to propose a suitable feature combination to detect misbehavior by using well-known machine learning. (ML) techniques. A dataset built ...

The estimated angle of arrival and the estimated distance using path loss model are proposed as new features to use for detection mechanism.

Mar 7, 2024 · Many of these schemes employ machine learning techniques to detect misbehavior based on the features of the exchanged messages. However, the ...

We propose a Novel Position Falsification Attack Detection System for the Internet of Vehicles (NPFADS for the IoV) to learn and detect novel position ...

The goal of our work is analyzing safety messages and detecting false position information transmitted by the misbehaving nodes.

This paper addresses the vulnerability of vehicular ad hoc networks (VANETs) to malicious attacks, specifically focusing on position falsification attacks.

Apr 12, 2023 · In this paper, we propose a Machine Learning (ML) mechanism that takes advantage of three new features that are primarily related to the sender position.

Jul 5, 2024 · This paper addresses the vulnerability of vehicular ad hoc networks (VANETs) to malicious attacks, specifically focusing on position ...

In this paper, we propose a Machine Learning (ML) mechanism that takes advantage of three new features, which are mainly related to the sender position, ...