多模态生物识别在数字经济中的意义

A. Subhan, M. Ali Shah
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摘要

保护信息安全是当今普遍存在的挑战。智能设备越来越依赖于互联网和无线网络。数据存储在远程服务器上。主要问题是安全盗窃和未经授权访问个人私人数据。生物识别系统提供了最好的身份验证。各种各样的生物识别技术正在被使用,比如手指传感器和数字签名。多模态生物识别系统结合了更多的特征,并在认证用户时提供了最大的准确性。本调查的目的是描述使用多模态生物识别技术的重要性。在单峰生物识别系统中,非法访问是很容易的,而在多峰生物识别系统中,非法访问则需要付出更多的努力。数字生物识别系统对个人的生理和行为特征起作用。它通过自动化技术确定身份。许多公司在多模态生物识别系统上投入了大量资金,这些系统主要用于物联网设备,用于安全目的。基于数字计算技术的经济是数字经济,多模式生物识别系统正在增强它。与传统密码和单模态生物识别系统相比,多模态生物识别系统具有竞争优势。本文将为构建多模态生物识别系统提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SIGNIFICANCE OF MULTI-MODAL BIOMETRICS IN DIGITAL ECONOMY
Securing information is a prevailing challenge these days. Smart devices are increasingly relying on the internet and wireless networks. The data is stored on remote servers. The main problems are security theft and unauthorised access to a person's private data. Biometric systems provide the best authentication. A variety of biometrics are being used, such as finger sensors and digital signatures. A multimodal biometric system combines more traits and provides maximum accuracy in authenticating the users. The aim of this survey is to delineate the importance of using multimodal biometrics. Getting illegitimate access in unimodal biometric systems is easy, but multimodal biometric systems need more effort to break into the system. A digital biometric system works on the physiological and behavioural characteristics of an individual. It determines identification through automated technology. Many companies are investing large amounts in multimodal biometric systems and they are mostly being used in IoT devices for security purposes. An economy based on digital computing technologies is a digital economy and multimodal biometric systems are enhancing it. Multimodal biometric systems have a competitive advantage over conventional passwords and unimodal biometric systems. The paper will provide information for researchers constructing multimodal biometric systems.
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