Self-sovereign identity framework with user-friendly private key generation and rule table

IF 6.2 2区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Jungwon Seo , Sooyong Park
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引用次数: 0

Abstract

The rise of self-sovereign identity (SSI) technology plays a critical role in addressing the limitations of conventional digital identity management systems. This paper focuses on the credential layer within the SSI technology stack, presenting a comprehensive solution to challenges related to usability, inefficient encryption and decryption processes, and verifiable credential management in existing SSI frameworks. To tackle these issues, the proposed approach introduces a user-friendly private key generation method, a rule table-based encryption and decryption technique, and a verifiable credential management system using smart contracts. In a usability evaluation involving 58 participants, 74.1% rated the proposed approach as user-friendly. Performance evaluations demonstrated that the rule table-based encryption method is between 10.37 and 171.51 times faster than existing encryption techniques. Similarly, the decryption process showed significant improvements, achieving performance that is 16.94 to 58.68 times faster than traditional methods. Security analyses were also conducted, highlighting the resilience against brute-force attacks and unauthorized access. The impact of this research extends beyond addressing current limitations, offering a robust and efficient framework that enhances the usability, security, and performance of SSI systems. By advancing the credential layer, this work paves the way for broader adoption of SSI technology across diverse applications, contributing to the evolution of decentralized identity management solutions.
具有用户友好型私钥生成和规则表的自主身份框架
自主身份(SSI)技术的兴起在解决传统数字身份管理系统的局限性方面起着至关重要的作用。本文重点研究了SSI技术栈中的凭证层,针对现有SSI框架中存在的可用性、低效的加密和解密过程以及可验证的凭证管理等挑战,提出了一个全面的解决方案。为了解决这些问题,提出的方法引入了一种用户友好的私钥生成方法,一种基于规则表的加密和解密技术,以及使用智能合约的可验证凭证管理系统。在一项涉及58名参与者的可用性评估中,74.1%的人认为该方法对用户友好。性能评估表明,基于规则表的加密方法比现有的加密技术快10.37到171.51倍。同样,解密过程也有了显著的改进,实现了比传统方法快16.94到58.68倍的性能。此外,我们亦进行了安全分析,强调系统能抵御暴力攻击和未经授权的访问。这项研究的影响超出了解决当前的限制,提供了一个强大而有效的框架,增强了SSI系统的可用性、安全性和性能。通过推进凭证层,这项工作为在各种应用中更广泛地采用SSI技术铺平了道路,为分散身份管理解决方案的发展做出了贡献。
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来源期刊
CiteScore
19.90
自引率
2.70%
发文量
376
审稿时长
10.6 months
期刊介绍: Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.
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