Optimized Security Algorithms for Intelligent and Autonomous Vehicular Transportation Systems

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimized Security Algorithms for Intelligent and Autonomous Vehicular Transportation Systems

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Optimized Security Algorithms for Intelligent and Autonomous Vehicular Transportation Systems

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/VJ01010066" target="_blank" >VJ01010066: Elektronické omezení rychlosti vozidel při mimořádných a krizových situacích bezpečnostními sbory</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

ISSN

1524-9050

e-ISSN

1558-0016

Svazek periodika

neuveden

Číslo periodika v rámci svazku

2021

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

7

Strana od-do

1-7

Kód UT WoS článku

000732269500001

EID výsledku v databázi Scopus

2-s2.0-85118652858