Cybersecurity Risk Management in Identity Systems using Biometric-based Multimodal Authentication.

A. Talabi, O. Longe, A. A. Muhammad, K. Olusanya
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Abstract

This increasing inter-connectivity of systems and dependence on computer and internet-based networks has made Cybersecurity related risks management issues major considerations in designing, developing and managing identity systems. Thus, this paper investigates Cybersecurity and related risk management challenges in Identity Management Systems by undertaking a comparative analysis of different biometric traits. The analysis proved that biometric-based multimodal systems are more secure than uni-modal systems with high accuracy rates. Also, it produced minimal false acceptance and false rejection rates. The biometric-based multi-modal authentication systems will assist organizations to restrict access to authorized users and protect digital assets by ensuring confidentiality, integrity and availability. Keywords: Cybersecurity, Risk, Identity, Biometrics, Multimodal, Behavioural, Fusion
使用基于生物特征的多模式认证的身份系统中的网络安全风险管理。
系统之间日益增加的互联性以及对计算机和基于互联网的网络的依赖,使得网络安全相关的风险管理问题成为设计、开发和管理身份系统时的主要考虑因素。因此,本文通过对不同生物特征的比较分析来研究身份管理系统中的网络安全和相关风险管理挑战。分析证明,基于生物特征的多模态系统比单模态系统更安全,准确率高。此外,它产生了最小的错误接受和错误拒绝率。基于生物特征的多模式认证系统将帮助组织限制授权用户的访问,并通过确保机密性、完整性和可用性来保护数字资产。关键词:网络安全,风险,身份,生物识别,多模式,行为,融合
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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