A study on the traceable attribute-based signature scheme provided with anonymous credentials

IF 3.2 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Connection Science Pub Date : 2024-01-08 DOI:10.1080/09540091.2023.2287979

Yong Woon Hwang, Taehoon Kim, Daehee Seo, Im-Yeong Lee

引用次数: 0

Abstract

In order to provide the reliability of transmitted data in the era of big data, it is necessary to communicate by applying signature technology to data. There are various signature schemes, among w...

查看原文本刊更多论文

关于提供匿名凭证的基于属性的可追溯签名方案的研究

在大数据时代，为了保证传输数据的可靠性，有必要对数据应用签名技术进行通信。目前有多种签名方案，其中...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Connection Science 工程技术-计算机：理论方法

CiteScore

6.50

自引率

39.60%

发文量

审稿时长

3 months

期刊介绍： Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.