BPKEM: A biometric-based private key encryption and management framework for blockchain

Author:

Cai Hao,Li HanORCID,Xu JianlongORCID,Li Linfeng,Zhang Yue

Abstract

The fundamental technology behind bitcoin, known as blockchain, has been studied and used in a variety of industries especially in finance. The security of blockchain is extremely important as it will affects the assets of the clients as well as it is the lifeline feature of the entire system that needs to be guaranteed. Currently, there is a lack of a methodical approach to guarantee the security and dependability of the private key during its whole life. Furthermore, there is no quick, easy, or secure way to create the encryption key. A biometric-based private key encryption and management framework (BPKEM) for blockchain is proposed not only to solve the private key lifecycle manag- ement problem, but also it maintains compatibility with existing blockchain systems. For the problem of private key encryption, a biometric-based stable key generation method is proposed. By using the relative invariance between facial and fingerprint feature points, this measure can convert feature points into stable and distinguishable descriptors, then using a reusable fuzzy extractor to create a stable key. The correct- ness and efficiency of the newly proposed biometric-based blockchain encryption tech- nique in this paper has been validated in the experiments.

Funder

2021 Guangdong province special fund for science and technology project

Research on Food Production and Marketing traceability Software system based on Blockchain

Guangdong Provincial Science and Technology Plan Project

2020 Li Ka Shing Foundation Cross-Disciplinary Research Grant

Guangdong basic and applied basic research fund project

Free application project of Guangdong Natural Science Foundation

Special projects in key fields of colleges and universities in Guangdong Province

Publisher

Public Library of Science (PLoS)

Reference29 articles.

1. Quantum computers put blockchain security at risk;Aleksey K. Fedorov;Nature,2018

2. Mehmet Aydar, Salih Cemil Cetin, Serkan Ayvaz, Betul Aygun. Private key encryption and recovery in blockchain. arXiv preprint arXiv:1907.04156.2019

3. Li Huige, Zhang Fangguo, He Jiejie, Tian Haibo. A Searchable Symmetric Encryption Scheme using BlockChain. arXiv preprint arXiv:1711.01030.2017

4. Blockchain-based searchable symmetric encryption scheme;Li Huige;Computers Electrical Engineering,2019

5. Verifiable attribute-based searchable encryption scheme based on blockchain;XX Yan;Journal on Communications,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3