Title :
An Efficient and Lightweight Intrusion Detection Mechanism for Service-Oriented Vehicular Networks
Author :
Sedjelmaci, H. ; Senouci, S.M. ; Abu-Rgheff, M.A.
Author_Institution :
DRIVE Lab., Univ. of Burgandy, Dijon, France
Abstract :
Vehicular 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, real-time 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 light-weight intrusion detection mechanism, called efficient and light-weight intrusion detection mechanism for vehicular network (ELIDV) that aims to protect the network against three kinds of attacks: denial of service (DoS), 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 performance 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.
Keywords :
computer network security; data communication; data integrity; intelligent transportation systems; vehicular ad hoc networks; DoS; ELIDV; ITS; NS-3 simulator; VANET; denial of service; efficient and light-weight intrusion detection mechanism for vehicular network; false alert generation; high-rate data communication; integrity target; intelligent transportation system; low false positive rate; malicious detection; road-side units; service-oriented vehicular network; vehicular ad hoc network; wireless network; Intrusion detection; Monitoring; Protocols; Road traffic; Service-oriented architecture; Vehiclular ad hoc networks; Wireless networks; Intrusion detection; Service Attacks; Service-oriented vehicular; intrusion detection; networks; service attacks; service-oriented vehicular networks;
Journal_Title :
Internet of Things Journal, IEEE
DOI :
10.1109/JIOT.2014.2366120