Research Article · Computer & Comm. Tech. · Volume 6, Issue 8 · Aug 2021 · Pages 147–153
Neighbour node trust identification using cluster approach in VANET
R. Kethsiyal Majella, S. Sumithra
- R. Kethsiyal Majella: Department of Electronics and Communication Engineering, JJ College of Engineering and Technology, Trichy., Tamilnadu, India.
- S. Sumithra: Department of Electronics and Communication Engineering, JJ College of Engineering and Technology, Trichy., Tamilnadu, India.
Abstract
The dynamic nature of vehicular networks imposes plenty of challenges in multi hop data transmission as links are vulnerable in their existence because of associated mobility of vehicles. Thus, packets frequently find it difficult to induce through to the destination having the limited lifetimes of links. Vehicular Ad-hoc Network (VANET), a novel technology holds a paramount importance within the transportation domain due to its abilities to increase traffic efficiency and safety. However, VANET can also include dishonest nodes like Man-in-the-Middle (MiTM) attackers getting to distribute and share malicious content with the vehicles, thus polluting the network with compromised information. In this regard, establishing trust among connected vehicles can increase security as every participating vehicle will generate and propagate authentic, accurate and trusted content within the network. In this paper propose a unique trust model, namely, Man-in-the-middle Attack Resistance trust model in connected vehicles (MARINE), which identifies dishonest nodes performing MiTM attacks in an efficient way also as revokes their credentials. Every node running MARINE system first establishes trust for the sender by performing multi-dimensional plausibility checks. Once the receiver verifies the trustworthiness of the sender, the received data is then evaluated both directly and indirectly. Extensive simulations are carried out to evaluate the performance and routing framework of MARINE rigorously in terms of the performance over the existing scheme models and the trust model.
Keywords
Vehicular Ad-hoc Network; Trust Model; Man-in-the-Middle; Resistance trust model
References
- Zhao J, Cao G. VADD: Vehicle Assisted Data Delivery in Vehicular Ad-hoc Network. IEEE Transactions on Vehicular Technology 2008;57:1910-22.
- Wang Q, Fan P, Letaief K. On the Joint V2I and V2V Scheduling for Coopera tive VANETS Wit h Network Coding. IEEE Transactions on Vehicular Technology 2012;61:62-73.
- He D, Zeadally S, Xu B, Huang X. An Efficient Identity -Based Conditional Privacy-Preserving Authentication Schem e for Vehicular Ad Hoc Networks. IEEE Transactions on Information Forensics and Security 2015;10:2681-91.
- Du R, Chen C, Yang B, Lu N, Guan X, Shen X. Effective Urban Traffic Monitoring by Vehicular Sensor Networks, IEEE Transactions on Vehicular Technology 2015;64:273-86.
- Salahuddin MA, Al-Fuqaha A, Guizani M, Cherkaoui S. Software-Defined Networking for RSU Clouds in Supp ort of the Internet of Vehicles . IEEE Internet Things Journal 2015;2:133-44.
- Salahuddin M, Al -Fuqaha A, Guizani M. Software-Defined Networking for RSU Clouds in Support of the Internet of Vehicles. IEEE Internet of Things Journal 2015;2:133-44.
- Liu K. Cooperative Data Scheduling in Hybrid Vehicular Ad Hoc Networks: VANET as A Software -Defined Network, IEEE/ACM Trans Netw 2016;24:1759-73.
- Lyu C, Gu D, Zeng Y, Mohapatra P. PBA: Prediction-Based Authentication for Vehicle-To-Vehicle Communications. IEEE Transactions on Dependable and Secure Computing 2016;13:71–83.
- He Z, Cao J, Liu X. SDVN: Enabling Rapid Network Innovation for Heterogeneous Vehicular Communication. IEEE Netw 2016;30:2-7.
- H. Li, M. Dong, and K. Ota, Control Plane Optimization in Software -Defined Vehicular Ad Hoc Networks. IEEE Transactions on Vehicular Technology 2016;65:7895-904.
- Zhang L, Wu Q, Domingo-Ferrer J, Qin B, Hu C. Distributed Aggregate Privacy - Preserving Authentication in VANETS. IEEE Transactions on Intelligent Transportation Systems 2017;18:516-26.
- Jo HJ, Kim IS, Lee DH. Reliable Cooperative Authen tication for Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems 2018;19:1065-79.
- Ghafoor H, Koo I. CR-SDVN: A Cognitive Routing Protocol for Software - ©2021 The Authors. Published by G. J. Publications under the CC BY license. 153 Defined Veh icular Networks. IEEE Sensors J 2018;18:1761-72.
- Weng J, Weng J, Zhang Y, Luo W, Lan W. BENBI: Scalable and Dynamic Access Control on the Northbou nd Interface of SDN-based VANET. IEEE Transac tions on Vehicular Technology 2019;68:822-31.