The Variant of Designated Verifier Signature Scheme with Message Recovery

• URL: http://arxiv.org/abs/2403.07820v2
• Date: Thu, 28 Mar 2024 04:47:38 GMT
• Title: The Variant of Designated Verifier Signature Scheme with Message Recovery
• Authors: Hong-Sheng Huang, Yu-Lei Fu, Han-Yu Lin,
• Abstract summary: We introduce a strong Designated Verifier Signature (DVS) scheme that incorporates a message recovery mechanism. This work is inspired by the concept of the Universal Designated Verifier Signature (UDVS) scheme.
• Score: 0.40964539027092917
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this work, we introduce a strong Designated Verifier Signature (DVS) scheme that incorporates a message recovery mechanism inspired by the concept of the Universal Designated Verifier Signature (UDVS) scheme. It is worth noting that Saeednia's strong designated verifier signature scheme fails to guarantee the privacy of the signature, making it unsuitable for certain applications such as medical record certificates or voting systems. To overcome this limitation, we extend Lee's strong designated verifier signature with a message recovery scheme to develop a universal designated verifier signature scheme. This universal designated verifier scheme is crafted to safeguard the privacy of signature holders, ensuring that only designated verifiers can authenticate the true signer and recover the messages.

Related papers

• An Undeniable Signature Scheme Utilizing Module Lattices [0.0]
  An undeniable signature scheme is type of digital signature where the signer retains control over the signature's verifiability. We develop a module lattice-based post-quantum undeniable signature system.
  arXiv  Detail & Related papers  (2024-10-25T00:09:29Z)
• Enhanced Bank Check Security: Introducing a Novel Dataset and Transformer-Based Approach for Detection and Verification [11.225067563482169]
  We introduce a novel dataset specifically designed for signature verification on bank checks. This dataset includes a variety of signature styles embedded within typical check elements. We propose a novel approach for writer-independent signature verification using an object detection network.
  arXiv  Detail & Related papers  (2024-06-20T14:42:14Z)
• Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signatures [3.3498759480099856]
  This paper addresses the problem of automatic signature verification when no reference signatures are available. The scenario we explore consists of a set of signatures, which could be signed by the same author or by multiple signers. We discuss three methods which estimate automatically the common authorship of a set of off-line signatures.
  arXiv  Detail & Related papers  (2024-05-23T10:30:48Z)
• Revocable Quantum Digital Signatures [57.25067425963082]
  We define and construct digital signatures with revocable signing keys from the LWE assumption. In this primitive, the signing key is a quantum state which enables a user to sign many messages. Once the key is successfully revoked, we require that the initial recipient of the key loses the ability to sign.
  arXiv  Detail & Related papers  (2023-12-21T04:10:07Z)
• Redactable and Sanitizable Signature Schemes: Applications and Limitations for use in Decentralized Digital Identity Systems [8.501327327617313]
  Redactable signature schemes and sanitizable signature schemes are methods that permit modification of a given digital message and retain a valid signature. We propose implementing these protocols on a digital credential and compare them against other privacy-enhancing techniques to assess their suitability.
  arXiv  Detail & Related papers  (2023-10-26T10:28:25Z)
• Securing Deep Generative Models with Universal Adversarial Signature [69.51685424016055]
  Deep generative models pose threats to society due to their potential misuse. In this paper, we propose to inject a universal adversarial signature into an arbitrary pre-trained generative model. The proposed method is validated on the FFHQ and ImageNet datasets with various state-of-the-art generative models.
  arXiv  Detail & Related papers  (2023-05-25T17:59:01Z)
• FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature [60.99054146321459]
  Federated learning allows multiple parties to collaborate in learning a global model without revealing private data. We propose a cryptographic signature-based federated learning model ownership verification scheme named FedSOV.
  arXiv  Detail & Related papers  (2023-05-10T12:10:02Z)
• Secure access system using signature verification over tablet PC [62.21072852729544]
  We describe a highly versatile and scalable prototype for Web-based secure access using signature verification. The proposed architecture can be easily extended to work with different kinds of sensors and large-scale databases.
  arXiv  Detail & Related papers  (2023-01-11T11:05:47Z)
• Quotable Signatures for Authenticating Shared Quotes [0.8875650122536799]
  Quotable signature schemes are digital signature schemes with the additional property that from the signature for a message, any party can extract signatures for (allowable) quotes from the message. We define a notion of security for quotable signature schemes and construct a concrete example of a quotable signature scheme. We consider both how quotable signatures can be used, and why using them could help mitigate the effects of fake news.
  arXiv  Detail & Related papers  (2022-12-21T12:07:46Z)
• Quantum Proofs of Deletion for Learning with Errors [91.3755431537592]
  We construct the first fully homomorphic encryption scheme with certified deletion. Our main technical ingredient is an interactive protocol by which a quantum prover can convince a classical verifier that a sample from the Learning with Errors distribution in the form of a quantum state was deleted.
  arXiv  Detail & Related papers  (2022-03-03T10:07:32Z)
• Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates [57.52763961195292]
  We present a new attack that exploits not only the labelling function of a classifier, but also the certificate generator. The proposed method applies large perturbations that place images far from a class boundary while maintaining the imperceptibility property of adversarial examples.
  arXiv  Detail & Related papers  (2020-03-19T17:59:44Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.