Shawky, Mahmoud A and Al-Quraan, Mohammad and Abualhayja'a, Mohammad and Alblaihed, Khaled and Adel, Ahmed and Gamal, Ahmed and Mostafa, Khalid and Kaur, Jaspreet and Taha, Ahmad and Shah, Syed T and Ansari, Shuja and Abbasi, Qammer (2024) Efficient Cross-Layer Handover Authentication for Secure Communication in VANETs. In: 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), 2024-07-14 - 2024-07-19, Florence, Italy.
Shawky, Mahmoud A and Al-Quraan, Mohammad and Abualhayja'a, Mohammad and Alblaihed, Khaled and Adel, Ahmed and Gamal, Ahmed and Mostafa, Khalid and Kaur, Jaspreet and Taha, Ahmad and Shah, Syed T and Ansari, Shuja and Abbasi, Qammer (2024) Efficient Cross-Layer Handover Authentication for Secure Communication in VANETs. In: 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), 2024-07-14 - 2024-07-19, Florence, Italy.
Shawky, Mahmoud A and Al-Quraan, Mohammad and Abualhayja'a, Mohammad and Alblaihed, Khaled and Adel, Ahmed and Gamal, Ahmed and Mostafa, Khalid and Kaur, Jaspreet and Taha, Ahmad and Shah, Syed T and Ansari, Shuja and Abbasi, Qammer (2024) Efficient Cross-Layer Handover Authentication for Secure Communication in VANETs. In: 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), 2024-07-14 - 2024-07-19, Florence, Italy.
Abstract
This paper addresses the critical need for secure and resilient handover authentication processes in modern vehicular communication systems, characterised by low latency and high reliability. Introducing a cross-layer handover technique, our approach utilises a physical layer handover method leveraging the substantial decorrelation of channel responses between diverse network terminals. Emphasising the lightweight nature of the solution, our method ensures efficient authentication during vehicular handovers. The proposed methodology, validated through experimental analysis, offers a promising solution to the increasing challenges posed by wireless communication vulnerabilities in the context of modern vehicles
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Handover, Machine learning, PHY-layer authentication, Support vector machine, VANET, 5G-V2I.; Handover, Machine learning, PHY-layer authentication, Support vector machine, VANET, 5G-V2I |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 04 Oct 2024 08:44 |
Last Modified: | 04 Oct 2024 08:45 |
URI: | http://repository.essex.ac.uk/id/eprint/38171 |
Available files
Filename: APS_2024_1.pdf