Khan, Salabat and Luo, Fei and Khan, Mansoor and Ullah, Insaf and Amin, Farhan and Ullah, Shamsher and Rahim, Mussadiq Abdul (2025) Differential Privacy-based Avatar Update in Cooperative Intelligent Transportation System Metaverse. In: 2024 10th International Conference on Computer and Communications (ICCC), 2024-12-13 - 2024-12-16, Chengdu, China.
Khan, Salabat and Luo, Fei and Khan, Mansoor and Ullah, Insaf and Amin, Farhan and Ullah, Shamsher and Rahim, Mussadiq Abdul (2025) Differential Privacy-based Avatar Update in Cooperative Intelligent Transportation System Metaverse. In: 2024 10th International Conference on Computer and Communications (ICCC), 2024-12-13 - 2024-12-16, Chengdu, China.
Khan, Salabat and Luo, Fei and Khan, Mansoor and Ullah, Insaf and Amin, Farhan and Ullah, Shamsher and Rahim, Mussadiq Abdul (2025) Differential Privacy-based Avatar Update in Cooperative Intelligent Transportation System Metaverse. In: 2024 10th International Conference on Computer and Communications (ICCC), 2024-12-13 - 2024-12-16, Chengdu, China.
Abstract
Metaverse is the next generation and the successor to the Internet. Various sectors allocated capital to adapt the metaverse due to its inherent importance. Cooperative Intelligent Transportation Systems (C-ITS) is one of the important sectors that can benefit from metaverse adaptation and integration. The C-ITS and metaverse integration give rise to new use cases and cyber attacks. However, traditional Pseudonym Certificate (PCert) authentication based on Vehicular Public Key Infrastructure (VPKI) cannot meet the new use cases and thwart cyber attacks. We present a Differential Privacy (DP)-based PCert and avatar update model to ensure the privacy of end-devices (e.g., vehicles) in the C-ITS metaverse. The proposed DP-based model adds noise to avatar attributes (e.g., color, behavior) to prevent avatar linkage during the PCert update process. Our method ensures that PCerts and avatars cannot be linked to end-devices and the previous PCerts and avatars. We simulate the DP-based method to investigate it in terms of privacy, latency, color distortion, and adversarial success rate, and the results show that DP-based is effective and practical for avatar updates.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Privacy; Blockchain; Metaverse; Cooperative Intelligent Transportation Systems (C-ITS); Vehicular Public Key Infrastructure (VPKI) |
Divisions: | 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: | 02 May 2025 13:28 |
Last Modified: | 02 May 2025 13:29 |
URI: | http://repository.essex.ac.uk/id/eprint/40758 |
Available files
Filename: Differential_Privacy-based_Avatar_Update_in_Cooperative_Intelligent_Transportation_System_Metaverse.pdf