An Efficient and Lightweight Intrusion Detection Mechanism for Service-Oriented Vehicular Networks

Abstract

Vehicle Ad-Hoc Networks (VANETs) are wireless networks that provide high rate data communication among moving vehicles and between the vehicles and the road-side units. VANETs are considered as the main wireless communication platforms for the intelligent transportation systems (ITS). Service-oriented vehicular networks are special categories for VANETs that support diverse infrastructure-based commercial infotainment services including for instance Internet access, realtime traffic monitoring and management, video streaming. Security is a fundamental issue for these service-networks due to the relevant business information handled in these networks. In this paper we design and implement an efficient and lightweight intrusion detection mechanism, called ELIDV that aims to protect the network against three kinds of attacks: DoS (Denial of Service), Integrity target and false alert's generation. ELIDV is based on a set of rules that detects malicious vehicles promptly and with high accuracy. We present the performances analysis of our detection mechanism using NS-3 simulator. Our simulation results show that ELIDV exhibits a high-level security in terms of highly accurate detection rate (detection rate more than 97 %), low false positive rate (close to 1%), and exhibits a lower overhead compared to contemporary frameworks.

Host-Based Intrusion Detection for VANETs: A Statistical Approach to Rogue Node Detection

“…Some research has been done in the area of IDS / IPS for Mobile Ad-hoc Networks (MANETs) and VANETs in [1], [24]- [30]. In [26], the authors propose an acknowledgement scheme to prevent packet dropping and false misbehaviour report generation by nodes for MANETs to report or convict a rogue node.…”

“…if the position claimed by one vehicle overlaps the position claimed by another in which case the vehicle with low trust value is flagged as an intruder. In [24], a method is proposed to detect intrusions through trust by assigning reputation scores to vehicles and the RSUs are used to compute these scores and the CA aggregates them. Similarly, in [1], rule based anomaly detection and reputation scores are used for the IDS in vehicular network.…”

“…We also compare our results with that of two previous schemes that deal with false information attacks i.e. [15] and [24]. The metrics used are described below:…”

“…The proposed mechanism is compared with two schemes i.e. DCMD [15] and ELIDV [24]. The detection rates are shown in Fig.…”

Improvement of Trust and Reputation using Intrusion Detection and Authentication in Ad Hoc Networks

“…A light weight intrusion detection system called ELIDV has been introduced in paper [13]. The authors have executed he proposed system for vehicular network against three types of attacks as denial of service, integrity target and false alert generation.…”