Abstract
The societal costs accompanying the developments are usually related to traffic congestion and accidents. The condition can be enhanced by providing timely information on traffic conditions using vehicular ad-hoc networks. vehicular ah hoc network (VANET), which is an essential technology in the realization of intelligent transportation system (ITS), has key challenges such as infrequent link connection duration and high packet drop ratio. In this paper, an algorithm is proposed which provides security against attacks on routing protocols and better network connectivity. In this algorithm, attacker node or the chain of attacker node can be identified, and IPs of these attacker nodes are blacklisted which implies if any RREP (route reply packet)come from the blacklisted node then that RREP will be discarded. The proposed algorithm is implemented using NCTUns network simulator and comparison of leading VANET protocols ad hoc on-demand distance vector (AODV), B-AODV (AODV with black hole attack) with the proposed secured algorithm is done. Extensive simulation scenarios are considered, and final results show that proposed algorithm has 40% higher throughput in comparison to AODV protocol, which makes it more efficient in a dense vehicular environment having V2V communication. Also, the proposed algorithm has 10% lower packet drop and a lesser number of collisions which renders it more reliable for the vehicle vehicle (V2V) environment. It proves that proposed secured routing algorithm performs better than standard AODV in the presence of malicious nodes causing black hole attack.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.