Optimized Security Algorithms for Intelligent and Autonomous Vehicular Transportation Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU142036" target="_blank" >RIV/00216305:26220/21:PU142036 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9599461" target="_blank" >https://ieeexplore.ieee.org/document/9599461</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TITS.2021.3123188" target="_blank" >10.1109/TITS.2021.3123188</a>

Result language
angličtina
Original language name
Optimized Security Algorithms for Intelligent and Autonomous Vehicular Transportation Systems
Original language description
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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/VJ01010066" target="_blank" >VJ01010066: Electronic speed limitation of vehicles in emergency and crisis situations triggered by security forces</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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