MComIoV: Secure and Energy-Efficient Message Communication Protocols for Internet of Vehicles
Abstract
The Internet of Vehicles (IoV) offers an emerging paradigm that deals with interconnected vehicles interacting with the infrastructure, roadside units (RSUs), sensors, and mobile devices with a goal to sense, compute, store, and transmit vital information or data over a common channel while vehicles are moving. Secure and reliable communication and efficient on-device performance are thus crucial challenges in this paradigm, particularly in presence of limited computation resources. This paper presents a novel secure and energy-efficient message communication system, called MComIoV, using a one-way hash function and elliptic curve cryptography (ECC). We evaluate MComIoV through security proof and analysis against various attacks to verify its robustness. The proposed system is also implemented and tested on Raspberry Pi 3B+. Experimental results demonstrate the efficiency in computation time, storage cost, communication overhead, and energy consumption.
Recommended Citation
T. Limbasiya et al., "MComIoV: Secure and Energy-Efficient Message Communication Protocols for Internet of Vehicles," IEEE/ACM Transactions on Networking, vol. 29, no. 3, pp. 1349 - 1361, Association for Computing Machinery (ACM), Jun 2021.
The definitive version is available at https://doi.org/10.1109/TNET.2021.3062766
Department(s)
Computer Science
Research Center/Lab(s)
Center for High Performance Computing Research
Second Research Center/Lab
Intelligent Systems Center
Keywords and Phrases
Authentication; Communication system security; confidentiality; integrity; Internet; IoV; message communication; privacy.; Protocols; Security; Vehicular ad hoc networks; Wireless communication; Wireless sensor networks
International Standard Serial Number (ISSN)
1063-6692; 1558-2566
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Association for Computing Machinery (ACM), All rights reserved.
Publication Date
01 Jun 2021
Comments
The work of Sajal K. Das was supported by NSF under Grant CNS-2008878, Grant SaTC-2030624, Grant CNS-1818942, Grant OAC-1725755S, and Grant DGE-1433659.