用于电子现金的无证书反量子盲签名加密技术

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Industrial Information Integration Pub Date : 2024-05-10 DOI:10.1016/j.jii.2024.100632

Huifang Yu , Qi Zhang , Lei Li

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引用次数: 0

摘要

电子现金（e-cash）已成为物联网时代的主要支付方式。然而，在电子现金系统中，用户隐私和交易数据的泄露问题越来越严重。为了解决这些问题，我们从 NTRU 晶格中构建了一种适用于电子现金的新型无证书盲签名加密（NTRUL-CLBSC）。由于数论研究单元（NTRU）网格的存储空间小、密钥大小短，NTRUL-CLBSC 具有较低的通信开销和较高的计算效率。NTRUL-CLBSC 基于 NTRU 网格中的 RSIS 和 DNCC 问题，可以保证电子现金应用中的抗量子、防伪造、保密性和盲性，并且不需要密钥托管和证书管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Certificateless anti-quantum blind signcryption for e-cash

Electronic cash (e-cash) has become major payment way in the era of internet of things. However, the leakage of user privacy and transaction data is becoming more and more serious in e-cash system. To solve these problems, we construct a new certificateless blind signcryption from NTRU lattice (NTRUL-CLBSC) suitable for e-cash. NTRUL-CLBSC has low communication overhead and high calculation efficiency because of small storage space and short key size in number theory research unit (NTRU) lattice. Based on RSIS and DNCC problems in NTRU lattice, NTRUL-CLBSC can guarantee the anti-quantum, anti-forgery, confidentiality and blindness, and there is no key escrow and certificate management in e-cash application.

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来源期刊

Journal of Industrial Information Integration Decision Sciences-Information Systems and Management

CiteScore

22.30

自引率

13.40%

发文量

100

期刊介绍： The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.