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Open AccessArticle

Design of Secure ECG-Based Biometric Authentication in Body Area Sensor Networks

Center for Embedded and Cyber-Physical Systems, University of California, Irvine, CA 92697-3455, USA
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Author to whom correspondence should be addressed.
Academic Editor: Rongxing Lu
Sensors 2016, 16(4), 570; https://doi.org/10.3390/s16040570
Received: 7 January 2016 / Revised: 12 April 2016 / Accepted: 13 April 2016 / Published: 22 April 2016
(This article belongs to the Special Issue Security and Privacy in Sensor Networks)
Body area sensor networks (BANs) utilize wireless communicating sensor nodes attached to a human body for convenience, safety, and health applications. Physiological characteristics of the body, such as the heart rate or Electrocardiogram (ECG) signals, are promising means to simplify the setup process and to improve security of BANs. This paper describes the design and implementation steps required to realize an ECG-based authentication protocol to identify sensor nodes attached to the same human body. Therefore, the first part of the paper addresses the design of a body-area sensor system, including the hardware setup, analogue and digital signal processing, and required ECG feature detection techniques. A model-based design flow is applied, and strengths and limitations of each design step are discussed. Real-world measured data originating from the implemented sensor system are then used to set up and parametrize a novel physiological authentication protocol for BANs. The authentication protocol utilizes statistical properties of expected and detected deviations to limit the number of false positive and false negative authentication attempts. The result of the described holistic design effort is the first practical implementation of biometric authentication in BANs that reflects timing and data uncertainties in the physical and cyber parts of the system. View Full-Text
Keywords: body area sensor networks; biometric; authentication; design body area sensor networks; biometric; authentication; design
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MDPI and ACS Style

Peter, S.; Pratap Reddy, B.; Momtaz, F.; Givargis, T. Design of Secure ECG-Based Biometric Authentication in Body Area Sensor Networks. Sensors 2016, 16, 570. https://doi.org/10.3390/s16040570

AMA Style

Peter S, Pratap Reddy B, Momtaz F, Givargis T. Design of Secure ECG-Based Biometric Authentication in Body Area Sensor Networks. Sensors. 2016; 16(4):570. https://doi.org/10.3390/s16040570

Chicago/Turabian Style

Peter, Steffen; Pratap Reddy, Bhanu; Momtaz, Farshad; Givargis, Tony. 2016. "Design of Secure ECG-Based Biometric Authentication in Body Area Sensor Networks" Sensors 16, no. 4: 570. https://doi.org/10.3390/s16040570

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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