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KAMAL, M. TARIQ, M. SRIVASTAVA, G. MALINA, L.
Original Title
Optimized Security Algorithms for Intelligent and Autonomous Vehicular Transportation Systems
Type
journal article in Web of Science
Language
English
Original Abstract
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 x 10⁵ 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.
Keywords
Internet of Vehicles; autonomous transport; cybersecurity; vehicle to vehicle; optimization.
Authors
KAMAL, M.; TARIQ, M.; SRIVASTAVA, G.; MALINA, L.
Released
13. 11. 2021
ISBN
1558-0016
Periodical
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Number
2021
State
United States of America
Pages from
1
Pages to
7
Pages count
URL
https://ieeexplore.ieee.org/document/9599461
BibTex
@article{BUT173086, author="Mohsin {Kamal} and Muhammad Ahsan {Tariq} and Gautam {Srivastava} and Lukáš {Malina}", title="Optimized Security Algorithms for Intelligent and Autonomous Vehicular Transportation Systems", journal="IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS", year="2021", volume="0", number="2021", pages="1--7", doi="10.1109/TITS.2021.3123188", issn="1558-0016", url="https://ieeexplore.ieee.org/document/9599461" }