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Authentication using pulse-response biometrics

Published: 23 January 2017 Publication History

Abstract

We propose a new biometric based on the human body's response to an electric square pulse signal, called pulse-response. We explore how this biometric can be used to enhance security in the context of two example applications: (1) an additional authentication mechanism in PIN entry systems, and (2) a means of continuous authentication on a secure terminal. The pulse-response biometric is effective because each human body exhibits a unique response to a signal pulse applied at the palm of one hand, and measured at the palm of the other. Using a prototype setup, we show that users can be correctly identified, with high probability, in a matter of seconds. This identification mechanism integrates well with other established methods and offers a reliable additional layer of security, either on a continuous basis or at login time. We build a proof-of-concept prototype and perform experiments to assess the feasibility of pulse-response as a practical biometric. The results are very encouraging, achieving accuracies of 100% over a static data set, and 88% over a data set with samples taken over several weeks.

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Published In

cover image Communications of the ACM
Communications of the ACM  Volume 60, Issue 2
February 2017
106 pages
ISSN:0001-0782
EISSN:1557-7317
DOI:10.1145/3042068
  • Editor:
  • Moshe Y. Vardi
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 January 2017
Published in CACM Volume 60, Issue 2

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Cited By

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  • (2024)OOBKey: Key Exchange with Implantable Medical Devices Using Out-Of-Band ChannelsProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3670876(1-13)Online publication date: 30-Jul-2024
  • (2024)CT-Auth: Capacitive Touchscreen-Based Continuous Authentication on SmartphonesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.327787936:1(90-106)Online publication date: 1-Jan-2024
  • (2024)Anti-Spoofing for Fingerprint Recognition Using Electric Body Pulse ResponseIEEE Internet of Things Journal10.1109/JIOT.2023.330865411:4(5993-6006)Online publication date: 15-Feb-2024
  • (2024)Elevating Wearable Sensor Authentication with Hybrid Deep Learning and Squeeze-and-ExcitationComputational Science and Its Applications – ICCSA 202410.1007/978-3-031-64608-9_12(186-197)Online publication date: 2-Jul-2024
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  • (2022)Risk-Based AuthenticationHandbook of Research on Mathematical Modeling for Smart Healthcare Systems10.4018/978-1-6684-4580-8.ch009(154-179)Online publication date: 24-Jun-2022
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  • (2022)An efficient privacy-preserving user authentication scheme using image processing and blockchain technologiesJournal of Discrete Mathematical Sciences and Cryptography10.1080/09720529.2022.207508925:4(1137-1155)Online publication date: 23-Jun-2022
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