Title: An innovative approach based on clustering and digital signature to prevent black hole attack from vehicular ad-hoc network
Authors: Shahjahan Ali; Parma Nand; Shailesh Tiwari
Addresses: Department of Computer Science and Engineering, Shri Ram Murti Smarak College of Engineering and Technology, Bareilly, Uttar Pradesh Affiliated to Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, 226031, India ' Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University Greater Noida, Uttar Pradesh, 201306, India ' Department of Computer Science and Engineering, KIET, Ghaziabad, Uttar Pradesh Affiliated to Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, 226031, India
Abstract: Due to broad development in wireless technology, vehicular ad-hoc networks (VANETs) came into existence which can reduce road accidents, traffic jams and can increase road safety. Because of dynamic topology, wireless medium, decentralised infrastructure, VANET is much more suspected towards various security attacks such as black hole in which control or data packets can be dropped by misbehaving vehicle, by which the safe path/link becomes compromised. In this research paper an innovative approach based on clustering and digital signature (CDS) is proposed to prevent black hole attack on reactive routing, i.e., ad-hoc on demand distance vector (AODV) and dynamic source routing (DSR) of VANET. The proposed approach is implemented and evaluated in SUMO-0.32.0 and NS-3.24.1 simulators. The novelty of this research work is that until now no approach (based on CDS) existed to prevent the black hole assault (BHA) from reactive routing in VANET.
Keywords: VANET; vehicular ad-hoc network; routing; AODV; ad-hoc on demand distance vector; DSR; dynamic source routing; black hole; SUMO-0.32.0; NS-3.24.1; digital signature.
DOI: 10.1504/IJCNDS.2025.144711
International Journal of Communication Networks and Distributed Systems, 2025 Vol.31 No.2, pp.221 - 249
Received: 18 Oct 2023
Accepted: 16 Mar 2024
Published online: 28 Feb 2025 *