An improved multi-signature scheme for specified group of verifiers

Chande, Manoj Kumar; Chen, Te Yu; Lee, Cheng‐Chi

doi:10.1504/ijesdf.2017.083993

Cited by 1 publication

(1 citation statement)

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“…Te security analysis for IBCSE shows that the proposed scheme is secure against diferent cryptographic attacks such as chosen identity attacks. Another model for identity-based digital signature is proposed in [29], which is based on ECC. As the presented model is based on the ECC with the nonpairing scheme, hence, the cost of computation for signature and verifcation is very less.…”

Section: Previous Workmentioning

confidence: 99%

Improved Multisignature Scheme for Authenticity of Digital Document in Digital Forensics Using Edward-Curve Digital Signature Algorithm

Shankar

Ai-Farhani²,

Angelin

et al. 2023

Security and Communication Networks

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At the moment, digital documents are just as important as paper documents. As a result, authenticity is essential, especially in legal situations and digital forensics. As technology advances, these digital signature algorithms become weaker, necessitating the development of digital authentication schemes capable of withstanding current security threats. This study proposed a scheme based on an asymmetric key cryptosystem and the user’s biometric credentials to generate keys for digital signatures. A single document can be signed by multiple signatories at the same time under this scheme. The primary goal of this article is to create a safe and cost-effective multiignature scheme. To create keys for document signing and verification, the Edwards-curve Digital Signature Algorithm (EdDSA), especially Ed25519, is employed. The Edwards-curve Digital Signature Algorithm is used with blockchain technology to sign crypto wallets. The Python implementation of a scheme that enables platform independence. We performed performance, security, and comparative analysis to ensure maximum usability. The article’s main findings are that the Ed25519 algorithm can be used in blockchain.

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Section: Previous Workmentioning

confidence: 99%