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Securing Patient Data in Wireless Body Area Sensor Network Using Biometrics Based Key Generation

[ Vol. 13 , Issue. 3 ]

Author(s):

K. Geetha, S. Chitra, Madhusudhanan B. and X. Z. Gao   Pages 231 - 236 ( 6 )

Abstract:


Introduction: A Wireless Body Area Sensor Network (WBASN) implements wearable devices interconnected with each other and connected to a central monitor acting as a Base Station. Ensuring data security and secure communication is challenging due to resource constrained environment. Secure communication is ensured with cryptography which requires good key generation techniques.

Objective: A biometrics-based cryptographic key generation using Electrocardiogram (ECG) is proposed. The focus of this work is to use biometric for securing the data transmission in WBASN and not for biometric-based authentication.

Methods: Walsh–Hadamard transform (WHT) is used for feature extraction. After the features are generated, a stable key generation mechanism generates a stable cryptographic key to secure the data transmission. Based on the distinguishability degree, a transformed feature contributes one or more bits of information during the cryptographic key generation. The generated key has an enlarged space due to which the key is more secure.

Results: Experimental results demonstrate that the proposed biometric authentication system performs satisfactorily with low FAR and FRR. Results reveal that the suggested method achieves improved security with energy savings.

Conclusion: The work includes a generic method for distinguishable feature generation, as well as a stable key generation mechanism ECG signals.

Keywords:

Wireless body area sensor network (WBASN), secure communication, cryptography, biometrics, cryptographic key generation.

Affiliation:

Department of Computer Science and Engineering, MIET Engineering College, Tamil Nadu, Er. Perumal Manimekalai College of Engineering, Tamil Nadu,, Department of Computer Science and Engineering, Er. Perumal Manimekalai College of Engineering, Tamil Nadu, Department of Electrical Engineering and Automation, Aalto University School of Electrical Engineering, Espoo

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