Design of Secure ECG-Based Biometric Authentication in Body Area Sensor NetworksReport as inadecuate

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Center for Embedded and Cyber-Physical Systems, University of California, Irvine, CA 92697-3455, USA


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Academic Editor: Rongxing Lu

Abstract 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

Author: Steffen Peter * , Bhanu Pratap Reddy, Farshad Momtaz and Tony Givargis



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