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A Lightweight QR-assisted Zero-knowledge Identification Protocol For Secure Authentication

arXiv Security Archived May 19, 2026 ✓ Full text saved

arXiv:2605.16912v1 Announce Type: new Abstract: This study proposes a lightweight Zero-Knowledge authentication model supported by QR codes. The approach is based on the Schnorr authentication protocol and provides an additional security layer against replay attacks through nonce and timestamp mechanisms. The proof data generated by the prover is embedded within a QR code and transmitted to the verifier. Thus, the system enables verification of knowledge of the secret key without revealing it. S

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    Computer Science > Cryptography and Security [Submitted on 16 May 2026] A Lightweight QR-assisted Zero-knowledge Identification Protocol For Secure Authentication Hüseyin Bodur This study proposes a lightweight Zero-Knowledge authentication model supported by QR codes. The approach is based on the Schnorr authentication protocol and provides an additional security layer against replay attacks through nonce and timestamp mechanisms. The proof data generated by the prover is embedded within a QR code and transmitted to the verifier. Thus, the system enables verification of knowledge of the secret key without revealing it. Simulation results show that proof generation and verification times under a 256-bit security level are in the millisecond range. Additionally, the proof size remains constant at approximately 0.5 KB, making it suitable for practical applications in terms of QR code capacity. The findings indicate that the proposed model is applicable in mobile and low-resource systems in terms of both security and performance. Comments: 7 pages, 3 figures Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2605.16912 [cs.CR]   (or arXiv:2605.16912v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2605.16912 Focus to learn more Submission history From: Hüseyin Bodur [view email] [v1] Sat, 16 May 2026 09:58:54 UTC (532 KB) Access Paper: view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-05 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
    Category
    ◬ AI & Machine Learning
    Published
    May 19, 2026
    Archived
    May 19, 2026
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