生物识别系统区块链部署调查

IET Blockchain Pub Date : 2024-02-01 DOI:10.1049/blc2.12063
Surbhi Sharma, Rudresh Dwivedi
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引用次数: 0

摘要

区块链技术能够提高分布式系统的安全性、可靠性和弹性,因此近年来已成为一个新兴领域。基于该技术的研究已经影响了多家公司,包括银行、医疗保健、数据处理、遥感等。区块链技术吸引人的主要特点是数据不变性、透明性、隐私性、去中心化和分布式账本。然而,敏感的生物识别数据存在隐私泄露的可能性。本调查旨在研究基于区块链的生物识别应用研究。它首先确定了生物识别和区块链的无数合作方式,包括生物识别模板的存储和保护、身份管理和生物识别认证系统。此外,还确定了区块链技术的不同生物识别应用,以及所考虑的生物识别数据类型、所利用的区块链技术特征和能力,以及所采用的区块链技术框架。最后,作者试图研究生物识别领域的区块链概念,评估其利弊,并总结区块链在各种生物识别应用中开发的方法。此外,作者还重点介绍了基于区块链的生物识别系统的应用,然后探讨了开放式研究问题和潜在的未来研究领域。
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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A survey on blockchain deployment for biometric systems

Blockchain technology has become an emerging area in recent years due to its capacity to improve the security, dependability, and resilience of distributed systems. Research based on this technique has impacted several firms, including banking, healthcare, data processing, remote sensing, and many others. The key characteristics of blockchain technology that make it appealing are data immutability, transparency, privacy, decentralization, and distributed ledgers. However, there is a chance of a privacy breach with sensitive biometric data. The purpose of this investigation is to examine blockchain-based biometric applications research. It begins by determining the myriad ways that biometrics and blockchain may work together, including the storage and protection of biometric templates, identity management, and biometric authentication systems. Different biometric applications with respect to blockchain technology are also identified, along with the types of biometric data taken into account, features and capabilities of blockchain technology exploited, and blockchain technology frameworks employed. Finally, the authors seek to investigate blockchain concepts in the biometric domain by evaluating their pros and cons and summarizing the methods developed on blockchain for diverse biometric applications. Additionally, the applications of blockchain-based biometric systems are highlighted before moving on to open research questions and potential future research areas.

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