| Issue |
EPJ Web Conf.
Volume 380, 2026
International Conference on Information Systems and Communication Technologies (ICISCT’25)
|
|
|---|---|---|
| Article Number | 02016 | |
| Number of page(s) | 13 | |
| Section | Artificial Intelligence, Advanced Control Systems, and Energy Management | |
| DOI | https://doi.org/10.1051/epjconf/202638002016 | |
| Published online | 03 August 2026 | |
https://doi.org/10.1051/epjconf/202638002016
Enhanced Private key Synchronization Mechanism Security in Passkeys System Based on Elliptic Curve Diffie-Hellman and Zero-Knowledge Proofs
1 dept. of Computer Science
2 University Joseph KI-ZERBO
3 Ouagadougou, Burkina Faso
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Published online: 3 August 2026
Abstract
Based on asymmetric cryptography, Passkeys Systems are a secure authentication method that can serve as an alternative to traditional authentication methods, such as usernames and passwords. In this paper, we propose a secure approach to enhance private key synchronization mechanisms in passkeys systems. Our secure service is based on Elliptic Curve Diffie-Hellman protocol and Zero-Knowledge Proofs in a peer-to-peer environment. Following a critical analysis of existing works, which highlights recurrent vulnerabilities related to authentication and confidentiality, we introduce a robust architecture using mutual identity verification, secure session key generation and encrypted passkey transfer. The security of our proposed protocol is assessed through a dual approach: an informal analysis based on potential attack modeling, and a formal validation using ProVerif and Scyther tools. The results demonstrate enhanced resistance to replay attacks, man-in-the-middle attacks, message modification, and identity impersonation, while ensuring optimized performance in terms of computational and communication costs.
Key words: Elliptic Curve Diffie-Hellman / Zero-Knowledge Proofs / Informal Analysis / Formal Analysis / Security
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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