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A Study on Designated Verifier Signature Schemes and Their Variants

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Cryptology and Network Security with Machine Learning (ICCNSML 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 918))

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Abstract

Designated verifier signatures (DVSs) represent a specific type of digital signature that holds significance exclusively for a designated verifier. This feature emphasizes the importance of the intended receiver authenticating the signature, rendering it impenetrable to verification by any other party. DVSs provide a number of potential benefits over standard digital signatures, including increased security, flexibility, and efficiency. This paper conducts a thorough examination of cutting-edge research in the field of DVSs. It digs into the many types of DVSs that have been proposed, including ID-based DVSs, proxy DVSs, designated verifier strong signatures, bi-designated signatures, bi-designated proxy signatures, designated proxy threshold signatures, and multi-proxy signatures and exploration of the several applications that make use of DVS capabilities. In addition, we also propose DVS proxy signature scheme, secure against Type 5 and Type 6 challenger attack.

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Authors and Affiliations

  1. Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida, India

    Vandani Verma, Vandani Verma & Nitya Chugh

Authors
  1. Vandani Verma
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  2. Nitya Chugh
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Correspondence to Vandani Verma .

Editor information

Editors and Affiliations

  1. Department of Mathematics, Pranveer Singh Institute of Technology, Kanpur, India

    Atul Chaturvedi

  2. Department of Mathematics, Indian Institute of Technology Jammu, Jammu, India

    Sartaj Ul Hasan

  3. Applied Statistics Unit, Indian Statistical Institute, Kolkata, India

    Bimal Kumar Roy

  4. Department of Mathematics, Bar-Ilan University, Ramat-Gan, Israel

    Boaz Tsaban

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Verma, V., Chugh, N. (2024). A Study on Designated Verifier Signature Schemes and Their Variants. In: Chaturvedi, A., Hasan, S.U., Roy, B.K., Tsaban, B. (eds) Cryptology and Network Security with Machine Learning. ICCNSML 2023. Lecture Notes in Networks and Systems, vol 918. Springer, Singapore. https://doi.org/10.1007/978-981-97-0641-9_23

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  • DOI: https://doi.org/10.1007/978-981-97-0641-9_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0640-2

  • Online ISBN: 978-981-97-0641-9

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