Design of Secure ECG-Based Biometric Authentication in Body Area 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 proc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2016-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/16/4/570 |
| _version_ | 1811307875664920576 |
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| author | Steffen Peter Bhanu Pratap Reddy Farshad Momtaz Tony Givargis |
| author_facet | Steffen Peter Bhanu Pratap Reddy Farshad Momtaz Tony Givargis |
| author_sort | Steffen Peter |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T09:13:12Z |
| format | Article |
| id | doaj.art-3e2f379485754623b4482b26ef7cc97b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T09:13:12Z |
| publishDate | 2016-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3e2f379485754623b4482b26ef7cc97b2022-12-22T02:52:50ZengMDPI AGSensors1424-82202016-04-0116457010.3390/s16040570s16040570Design of Secure ECG-Based Biometric Authentication in Body Area Sensor NetworksSteffen Peter0Bhanu Pratap Reddy1Farshad Momtaz2Tony Givargis3Center for Embedded and Cyber-Physical Systems, University of California, Irvine, CA 92697-3455, USACenter for Embedded and Cyber-Physical Systems, University of California, Irvine, CA 92697-3455, USACenter for Embedded and Cyber-Physical Systems, University of California, Irvine, CA 92697-3455, USACenter for Embedded and Cyber-Physical Systems, University of California, Irvine, CA 92697-3455, USABody 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.http://www.mdpi.com/1424-8220/16/4/570body area sensor networksbiometricauthenticationdesign |
| spellingShingle | Steffen Peter Bhanu Pratap Reddy Farshad Momtaz Tony Givargis Design of Secure ECG-Based Biometric Authentication in Body Area Sensor Networks Sensors body area sensor networks biometric authentication design |
| title | Design of Secure ECG-Based Biometric Authentication in Body Area Sensor Networks |
| title_full | Design of Secure ECG-Based Biometric Authentication in Body Area Sensor Networks |
| title_fullStr | Design of Secure ECG-Based Biometric Authentication in Body Area Sensor Networks |
| title_full_unstemmed | Design of Secure ECG-Based Biometric Authentication in Body Area Sensor Networks |
| title_short | Design of Secure ECG-Based Biometric Authentication in Body Area Sensor Networks |
| title_sort | design of secure ecg based biometric authentication in body area sensor networks |
| topic | body area sensor networks biometric authentication design |
| url | http://www.mdpi.com/1424-8220/16/4/570 |
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