Biometric authentication sensor with an encryption module for prevention of h/w hacking in digital custody services

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2023-01-01 DOI:10.2478/ijssis-2023-0004

Soojun Lee, Hyeopgoo Yeo, Mingoo Kang

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引用次数: 2

Abstract

Abstract In this paper, a digital personal safe system was proposed with Fast ID Online (FIDO) transaction authentication and multiple decentralized ID (DID) personal authentications based on a home gateway. This individual custody model of personal multiple authentications will be linked to the transaction authentication of digital assets stored in the storage space of the home gateway by the DID of smart devices and the FIDO server for a public platform that excludes digital asset (cryptocurrency [e.g., Bitcoin] or NFT asset) management based on individual private keys and user interaction (user interface and user experience [UI/UX]) at home. To strengthen the security of the proposed digital custody model, it was proposed to apply a local device to which a biometric sensor equipped with an encryption module that can fundamentally block the hacking of biometric information is applied. It is implemented with Verilog for an embedded fingerprint sensor block and decryption program implemented with C.

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带加密模块的生物识别认证传感器，用于防止数字托管服务中的h/w黑客攻击

摘要本文提出了一种基于家庭网关的具有快速身份在线（FIDO）事务认证和多分散身份（DID）个人认证的数字个人安全系统。这种个人多重认证的个人托管模式将通过智能设备的DID和公共平台的FIDO服务器链接到存储在家庭网关存储空间中的数字资产的交易认证，该公共平台不包括基于个人私钥和用户交互的数字资产（加密货币[如比特币]或NFT资产）管理（用户界面和用户体验[UI/UX]）。为了加强所提出的数字监管模型的安全性，建议应用一种本地设备，该设备上应用了配备有加密模块的生物特征传感器，该加密模块可以从根本上阻止对生物特征信息的黑客攻击。它是用Verilog实现的嵌入式指纹传感器块和用C实现的解密程序。

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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来源期刊

International Journal on Smart Sensing and Intelligent Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

2.70

自引率

8.30%

发文量

审稿时长

8 weeks

期刊介绍： nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity