XAutn: Blockchain-based cross domain authentication for digital certificates in the education sector

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent & Fuzzy Systems Pub Date : 2023-11-01 DOI:10.3233/jifs-235140
S. Baghavathi Priya, P. Sheela Rani, S.P. Chokkalingam, A. Prathik, M. Mohan, G. Anitha, M. Thangavel, S. Suthir
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Abstract

Traditional testimony and electronic endorsements are extremely challenging to uphold and defend, and there is a problem with challenging authentication. The identity of the student is typically not recognized when it comes to requirements for access to a student’s academic credentials that are scattered over numerous sites. This is an issue with cross-domain authentication methods. On the one hand, whenever the volume of cross-domain authentication requests increases dramatically, the response time can become intolerable because of the slow throughput associated with blockchain mechanisms. These systems still do not give enough thought to the cross-domain scenario’s anonymity problem. This research proposes an effective cross-domain authentication mechanism called XAutn that protects anonymity and integrates seamlessly through the present Certificate Transparency (CT) schemes. XAutn protects privacy and develops a fast response correctness evaluation method that is based on the RSA (Rivest, Shamir, and Adleman) cryptographic accumulator, Zero Knowledge Proof Algorithm, and Proof of Continuous work consensus Algorithm (POCW). We also provide a privacy-aware computation authentication approach to strengthen the integrity of the authentication messages more securely and counteract the discriminatory analysis of malevolent requests. This research is primarily used to validate identities in a blockchain network, which makes it possible to guarantee their authenticity and integrity while also increasing security and privacy. The proposed technique greatly outperformed the current methods in terms of authentication time, period required for storage, space for storage, and overall processing cost. The proposed method exhibits a speed gain of authentication of roughly 9% when compared to traditional blockchain systems. The security investigation and results from experiments demonstrate how the proposed approach is more reliable and trustworthy.
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XAutn:基于区块链的教育领域数字证书跨域认证
传统的证词和电子背书在维护和辩护方面极具挑战性,而且具有挑战性的认证也存在问题。当涉及到访问分散在众多网站上的学生学历证书的要求时,学生的身份通常是不被识别的。这是跨域身份验证方法的一个问题。一方面,每当跨域认证请求量急剧增加时,由于与区块链机制相关的缓慢吞吐量,响应时间可能变得无法忍受。这些系统仍然没有充分考虑跨域场景的匿名问题。本研究提出了一种有效的跨域认证机制,称为XAutn,它保护匿名性,并通过现有的证书透明度(CT)方案无缝集成。XAutn保护隐私,并开发了一种基于RSA (Rivest、Shamir和Adleman)密码累加器、零知识证明算法和连续工作共识证明算法(POCW)的快速响应正确性评估方法。我们还提供了一种隐私感知计算认证方法,以更安全地加强认证消息的完整性,并抵消恶意请求的歧视性分析。本研究主要用于验证区块链网络中的身份,这使得保证其真实性和完整性成为可能,同时也增加了安全性和隐私性。所提出的技术在身份验证时间、存储所需的时间、存储空间和总体处理成本方面大大优于当前的方法。与传统的区块链系统相比,所提出的方法显示出大约9%的认证速度增益。安全调查和实验结果表明,该方法更加可靠和可信。
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来源期刊
Journal of Intelligent & Fuzzy Systems
Journal of Intelligent & Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
3.40
自引率
10.00%
发文量
965
审稿时长
5.1 months
期刊介绍: The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
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