An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network

In the past few years, the applications of Wireless Body Area Network (WBAN) have improved the ability of healthcare providers to deliver appropriate treatments to the patients either in hospitals or at homes. Precisely, biomedical sensors in a WBAN collect physiological signal from human’s body to...

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Main Author:	Ramli, Sofia Najwa
Format:	Thesis
Language:	English English
Published:	2016
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/18534/1/An%20Electrocardiogram-Based%20Authentication%20Protocol%20In%20Wireless%20Body%20Area%20Network%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/18534/2/An%20Electrocardiogram-Based%20Authentication%20Protocol%20In%20Wireless%20Body%20Area%20Network.pdf
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id	my-utem-ep.18534
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Ahmad, Rabiah
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Ramli, Sofia Najwa An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network
description	In the past few years, the applications of Wireless Body Area Network (WBAN) have improved the ability of healthcare providers to deliver appropriate treatments to the patients either in hospitals or at homes. Precisely, biomedical sensors in a WBAN collect physiological signal from human’s body to enable remote, continuous and real-time network services. As the signal contains highly sensitive medical information about the patient and communicates through an open wireless environment, securing the information from unauthorized access and tampering are critically needed. One of the most crucial components to support security architecture in WBAN is its key management as it serves as the fundamental of authentication and encryption, but the overheads are enormous in dealing with key generation, exchange, storage and replacement. In response to such issue, the most promising solution for key management is the use of biometrics so that the involved parties can agree on a key to provide the authenticity of medical data in WBAN. However, the existing models are inappropriate to achieve optimal security performance and the required lightweight manners due to the sensor’s resource constraints in terms of power consumption and memory space. Therefore, this thesis presents a new authentication protocol model that utilizes Electrocardiogram (ECG) signal as biometric as well as cryptographic key to ensure that the transmitted data are originated from the required WBAN. The proposed model is developed and simulated on Matlab based on an improved fuzzy vault scheme with a lightweight error correction algorithm to reduce the computational complexity when compared to previous work. To validate the proposed ECG-based authentication protocol model, the FAR and FRR analysis is done and then followed by the complexity analysis. The result of FAR and FRR analysis demonstrates that choosing a definite degree and tolerance level can achieve optimal security performance required in WBAN communications. In complexity analysis, based on t-test, the result shows that there is a significant difference with 5% significant level in the computational complexity between the proposed authentication model and the previous protocol called ECG-IJS scheme and the proposed model requires fewer overheads in terms storage and communication overheads. To enhance the overall performance, this thesis also evaluates the uniqueness and the stability of ECG signal using Independent Component Analysis (ICA) and fast Fourier Transform (FFT) algorithm respectively as the signal is applied as inputs of the proposed ECG-based authentication protocol model. The experimental result of ICA algorithm exhibits that each ECG signal is unique to each other as each signal is composed strongly from each different independent component and approximately zero relative to other independent components. While the result of FFT algorithm summarizes that the number of the common FFT peak location index for sensors on the same subject is significantly higher compared to the number of common feature for sensors on different subjects.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ramli, Sofia Najwa
author_facet	Ramli, Sofia Najwa
author_sort	Ramli, Sofia Najwa
title	An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network
title_short	An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network
title_full	An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network
title_fullStr	An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network
title_full_unstemmed	An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network
title_sort	electrocardiogram-based authentication protocol in wireless body area network
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
publishDate	2016
url	http://eprints.utem.edu.my/id/eprint/18534/1/An%20Electrocardiogram-Based%20Authentication%20Protocol%20In%20Wireless%20Body%20Area%20Network%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/18534/2/An%20Electrocardiogram-Based%20Authentication%20Protocol%20In%20Wireless%20Body%20Area%20Network.pdf
_version_	1747833932756287488
spelling	my-utem-ep.185342021-10-08T15:10:41Z An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network 2016 Ramli, Sofia Najwa T Technology (General) TK Electrical engineering. Electronics Nuclear engineering In the past few years, the applications of Wireless Body Area Network (WBAN) have improved the ability of healthcare providers to deliver appropriate treatments to the patients either in hospitals or at homes. Precisely, biomedical sensors in a WBAN collect physiological signal from human’s body to enable remote, continuous and real-time network services. As the signal contains highly sensitive medical information about the patient and communicates through an open wireless environment, securing the information from unauthorized access and tampering are critically needed. One of the most crucial components to support security architecture in WBAN is its key management as it serves as the fundamental of authentication and encryption, but the overheads are enormous in dealing with key generation, exchange, storage and replacement. In response to such issue, the most promising solution for key management is the use of biometrics so that the involved parties can agree on a key to provide the authenticity of medical data in WBAN. However, the existing models are inappropriate to achieve optimal security performance and the required lightweight manners due to the sensor’s resource constraints in terms of power consumption and memory space. Therefore, this thesis presents a new authentication protocol model that utilizes Electrocardiogram (ECG) signal as biometric as well as cryptographic key to ensure that the transmitted data are originated from the required WBAN. The proposed model is developed and simulated on Matlab based on an improved fuzzy vault scheme with a lightweight error correction algorithm to reduce the computational complexity when compared to previous work. To validate the proposed ECG-based authentication protocol model, the FAR and FRR analysis is done and then followed by the complexity analysis. The result of FAR and FRR analysis demonstrates that choosing a definite degree and tolerance level can achieve optimal security performance required in WBAN communications. In complexity analysis, based on t-test, the result shows that there is a significant difference with 5% significant level in the computational complexity between the proposed authentication model and the previous protocol called ECG-IJS scheme and the proposed model requires fewer overheads in terms storage and communication overheads. To enhance the overall performance, this thesis also evaluates the uniqueness and the stability of ECG signal using Independent Component Analysis (ICA) and fast Fourier Transform (FFT) algorithm respectively as the signal is applied as inputs of the proposed ECG-based authentication protocol model. The experimental result of ICA algorithm exhibits that each ECG signal is unique to each other as each signal is composed strongly from each different independent component and approximately zero relative to other independent components. While the result of FFT algorithm summarizes that the number of the common FFT peak location index for sensors on the same subject is significantly higher compared to the number of common feature for sensors on different subjects. UTeM 2016 Thesis http://eprints.utem.edu.my/id/eprint/18534/ http://eprints.utem.edu.my/id/eprint/18534/1/An%20Electrocardiogram-Based%20Authentication%20Protocol%20In%20Wireless%20Body%20Area%20Network%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/18534/2/An%20Electrocardiogram-Based%20Authentication%20Protocol%20In%20Wireless%20Body%20Area%20Network.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100365 phd doctoral Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology Ahmad, Rabiah 1. A.Forouzan, B., 2008. Cryptography and Network Security, McGraw-Hill. 2. Ahmad, a., Javaid, N., Qasim, U., Ishfaq, M., Khan, Z. a. & Alghamdi, T. a., 2014. RE-ATTEMPT: A new energy-efficient routing protocol for wireless body area sensor networks. International Journal of Distributed Sensor Networks, 2014, p.9. 3. 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An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network

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