Optimized Security Algorithms for Intelligent and Autonomous Vehicular Transportation Systems

• Published in: IEEE transactions on intelligent transportation systems 2023-02, Vol.24 (2), p.2038-2044
• Main Authors: Kamal, Mohsin, Tariq, Muhammad, Srivastava, Gautam, Malina, Lukas
• Format: Article
• Language: English
• Subjects: Algorithms; autonomous transport; cybersecurity; Data exchange; Data models; Data transfer; Data transfer (computers); Fast Fourier transformations; Fingerprints; Fourier transforms; Internet of Things; Internet of Vehicles; Multimedia; Optimization; Security; Servers; Transportation systems; vehicle to vehicle; Vehicles; Vehicular ad hoc networks
• ISSN: 1524-9050; 1558-0016
• DOI: 10.1109/TITS.2021.3123188

With the growth of the Internet of Vehicles (IoV) in Intelligent Autonomous Transport Systems (IATS), a huge volume of data is exchanged between vehicles in these newly developed infrastructures. As a result, the requirements of securing data exchange between vehicles, autonomous or otherwise, have also increased tremendously. Securing data transfer and keeping a record of each transaction becomes a necessity in IoV/IATS. In this paper, we propose some optimized security algorithms using symmetric encryption for secure multimedia data transfer between vehicles. The main feature of these optimized algorithms is that they use a lower amount of data to generate fingerprints. The algorithms convert approximately 3.7 \times 10^{5} samples of data into 3600 samples to generate the fingerprint. Fast Fourier Transform (FFT) is used to fetch the highest three peak values of the signal in the frequency domain. A centralized server authenticates the data transfer by comparing the HASH of the fingerprints and also keeps the transaction record. Through experimental analysis, the performance of proposed algorithms is confirmed by achieving reduced size samples to generate fingerprints and their authentication at the server-side.