Performance Analysis of Authentication System: A Systematic Literature Review

Divya Singla, Neetu Verma
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Abstract

Data authentication is vital nowadays, as the development of the internet and its applications allow users to have all-time data availability, attracting attention towards security and privacy and leading to authenticating legitimate users. We have diversified means to gain access to our accounts, like passwords, biometrics, and smartcards, even by merging two or more techniques or various factors of authentication. This paper presents a systematic literature review of papers published from 2010 to 2022 and gives an overview of all authentication techniques available in the market. Our study provides a comprehensive overview of all three authentication techniques with all performance metrics (Accuracy, Equal Error Rate (EER), False Acceptance Rate (FAR)), security, privacy, memory requirements, and usability (Acceptability by user)) that will help one choose a perfect authentication technique for an application. In addition, the study also explores the performance of multimodal and multifactor authentication and the application areas of authentication.
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身份验证系统的性能分析:系统性文献综述
如今,数据认证至关重要,因为互联网及其应用的发展使用户可以随时随地获取数据,这引起了人们对安全和隐私的关注,并导致了对合法用户的认证。我们有多样化的手段来访问我们的账户,如密码、生物识别和智能卡,甚至通过合并两种或两种以上的技术或各种认证因素。本文对 2010 年至 2022 年发表的论文进行了系统性的文献综述,概述了市场上现有的所有身份验证技术。我们的研究全面概述了所有三种身份验证技术的性能指标(准确率、等效错误率(EER)、错误接受率(FAR))、安全性、隐私性、内存要求和可用性(用户可接受性)),这将有助于人们为应用选择一种完美的身份验证技术。此外,本研究还探讨了多模式和多因素身份验证的性能以及身份验证的应用领域。
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来源期刊
Recent Advances in Computer Science and Communications
Recent Advances in Computer Science and Communications Computer Science-Computer Science (all)
CiteScore
2.50
自引率
0.00%
发文量
142
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