Security Threats in Intelligent Transportation Systems and Their Risk Levels

Besma Zeddini, Mohamed Maachaoui and Youssef Inedjaren
Additional contact information
Besma Zeddini: SATIE Laboratory CNRS-UMR 8029, CY Tech, 95000 Cergy, France
Mohamed Maachaoui: Quartz Laboratory EA7393, CY Tech, 95000 Cergy, France
Youssef Inedjaren: Quartz Laboratory EA7393, CY Tech, 95000 Cergy, France

Risks, 2022, vol. 10, issue 5, 1-18

Abstract: Intelligent Transport Systems (ITSs) are part of road transportation sector evolution and constitute one of the main steps towards vehicle automation. These systems use technologies that allow vehicles to communicate with each other or with road infrastructure. By increasing information quality and reliability, ITSs can improve road safety and traffic efficiency, but only if cybersecurity and data protection is ensured. With the increase in the number of cyberattacks around the world, cybersecurity is receiving increased attention, especially in the area of transportation security. However, it is equally important to examine and analyze security in depth when it concerns connected vehicles. In this paper, we propose a qualitative risk analysis of ITSs based on Threat, Risk, Vulnerability Analysis (TVRA) methodology, and we focus on ETSI ITS communication architecture. We present a review of solutions and countermeasures for identified critical attacks.

Keywords: ITS; qualitative risk analysis; VANET; security threats; countermeasures; TVRA; communication (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-9091/10/5/91/pdf (application/pdf)
https://www.mdpi.com/2227-9091/10/5/91/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jrisks:v:10:y:2022:i:5:p:91-:d:798586

Access Statistics for this article

Risks is currently edited by Mr. Claude Zhang

More articles in Risks from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().