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Abstract
Securing traffic flows in internet of vehicles (IoV) environments for connected and automated vehicles (CAVs) is a critical task as it should be done in real-time to allow vehicles' controllers engagement on time. In this paper, the security of CAV communication at merging points is studied, the insecure vehicle communication is analysed in terms of the possible security threats and consequences, and security goals are then identified to protect the environment. We present a network topology that improves the availability of the system and propose a high-level design of a vehicle authentication protocol based on public key cryptography to authenticate vehicles. Simulation and analysis of the cryptographic functions are done to choose the best fit for vehicle communication, where Rivest-Shamir-Adleman (RSA)-2048 algorithms provide faster and more efficient computations.
Original language | English |
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Title of host publication | 2022 IEEE Intelligent Vehicles Symposium, IV 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1739-1744 |
Number of pages | 6 |
ISBN (Electronic) | 9781665488211 |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 IEEE Intelligent Vehicles Symposium, IV 2022 - Aachen, Germany Duration: 5 Jun 2022 → 9 Jun 2022 |
Publication series
Name | IEEE Intelligent Vehicles Symposium, Proceedings |
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Volume | 2022-June |
Conference
Conference | 2022 IEEE Intelligent Vehicles Symposium, IV 2022 |
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Country/Territory | Germany |
City | Aachen |
Period | 5/06/22 → 9/06/22 |
Keywords
- Connected and automated vehicles
- Cryptography
- Internet of vehicles
- Merging control systems
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Dive into the research topics of 'Security Analysis of Merging Control for Connected and Automated Vehicles'. Together they form a unique fingerprint.Projects
- 1 Finished
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EX-QNRF-NPRPS-6: Cloud-Supported Optimal and Secure Coordination of Connected Automated Vehicles for Smart Cities
Al-Kuwari, S. M. S. A. (Lead Principal Investigator), Amin, H. (Graduate Student) & Kaldari, J. (Graduate Student)
5/04/20 → 21/11/23
Project: Applied Research