RFID Authentication System Based on User Biometric Information

Author:

Huang YuanmuORCID,Fu BinORCID,Peng Ningwei,Ba Yanwen,Liu Xuan,Zhang ShigengORCID

Abstract

Traditional authentication technologies usually perform identity authentication based on user information verification (e.g., entering the password) or biometric information (e.g., fingerprints). However, there are security risks when applying only these authentication methods. For example, if the password is compromised, it is unlikely to determine whether the user entering the password is legitimate. In this paper, we subdivide biometric information into physiological and behavioral information, and we propose a novel user authentication system, RF-Ubia, which utilizes the low-cost radio frequency identification (RFID) technology to capture unique biological or behavioral information rooted in the user and can be used in two schemes for user authentication. Consisting of an array of nine passive tags and a commercial RFID reader, RF-Ubia provides double assurance for security of identity authentication by combining user information and biometric characteristics. It first verifies the user’s password, and then identifies the biometric characteristics of the legitimate user. Due to the coupling effect among tags, any change in tag signal caused by the user’s touch will affect other tag signals at the same time. Since each user has different fingertip impedance, their touch will cause unique tag signal changes. Therefore, by combining biometric information, the tag array will uniquely identify users. The evaluation results show that RF-Ubia achieves excellent authentication performance with an average recognition rate of 93.8%.

Funder

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation of China

National Defense Science and Technology Innovation Special Zone Project of China

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference31 articles.

1. Vital Signs Monitoring with RFID: Opportunities and Challenges;Liu;IEEE Netw.,2019

2. Accurate Respiration Monitoring for Mobile Users With Commercial RFID Devices;Zhang;IEEE J. Sel. Areas Commun.,2021

3. Chen, Z., Yang, P., Xiong, J., Feng, Y., and Li, X. (2020, January 27–30). TagRay: Contactless Sensing and Tracking of Mobile Objects using COTS RFID Devices. Proceedings of the 39th IEEE Conference on Computer Communications, INFOCOM 2020, Beijing, China.

4. CBID: A Customer Behavior Identification System Using Passive Tags;Han;IEEE/ACM Trans. Netw.,2016

5. Pradhan, S., Chai, E., Sundaresan, K., Qiu, L., Khojastepour, M.A., and Rangarajan, S. (2017, January 16–20). RIO: A Pervasive RFID-based Touch Gesture Interface. Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking, MobiCom 2017, Snowbird, UT, USA.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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