Intrusion Detection System-Based Security Mechanism for Vehicular Ad-Hoc Networks for Industrial IoT

Abstract

Security is an absolutely crucial aspect of any Industrial Internet of Things (IIoT) network that must be considered carefully to protect users while allowing for proper, error-free functioning of the entire network. Vehicular ad-hoc networks (VANETs) are a type of network that has emerged with the aim of strengthening the available intelligent transportation systems. Enhancing overall security in VANETs should be a top priority as problems in these networks can put lives at risk. Various security frameworks and solutions including the use of intrusion detection systems (IDS) have been proposed in the literature by researchers across the globe. In this study, the various challenges and problems associated with IDS usage in VANETs are thoroughly examined. In order to enhance the detection capabilities of IDS such that they can detect both existing and zero-day unknown attacks, we present a novel approach that makes use of honeypots in addition to conventional IDS to improve VANET security. We believe our honeypot-based IDS solution for VANETs will prove itself by enhancing overall detection rates while consuming fewer resources. Various design considerations like the optimal number of honeypot nodes, deployment locations of those nodes, type of IDS to be used, etc., are discussed herein. The main objective behind this study is to explore the various types of IDS already being used in VANETs for intrusion detection as well as to understand the challenges and benefits each approach offers, we hope that this work will become a valuable resource for researchers working in this field in the future.