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

被引:0
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作者
Shankar G. [1 ]
Ai-Farhani L.H. [2 ]
Anitha Christy Angelin P. [3 ]
Singh P. [4 ]
Alqahtani A. [5 ]
Singh A. [6 ]
Kaur G. [7 ]
Samori I.A. [8 ]
机构
[1] Chandigarh University Mohali, Punjab, Mohali
[2] System Analysis, Control and Information Processing, Academy of Engineering, RUDN University, Moscow
[3] PSNA College of Engineering and Technology, Tamilnadu, Dindigul
[4] Central University of Punjab Bathinda, Punjab
[5] Department of Computer Science, College of Computer Science, King Khalid University, Abha
[6] Department of Basic Science, College of Science and Theoretical Study, Dammam-Female Branch, Saudi Electronic University
[7] Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab Rajpura
[8] School of Engineering Sciences, University of Ghana, Accra
关键词
D O I
10.1155/2023/2093407
中图分类号
学科分类号
摘要
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. © 2023 Gauri Shankar et al.
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