alexa Biometric Authentication System for Body Area Network
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Open Access

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Research Article

Biometric Authentication System for Body Area Network

P.Abina1, K.Dhivyakala2,L.Suganya3,S.Mary Praveena4
  1. UG student, Dept. of ECE , Sri Ramakrishna Institute Of Technology, Coimbatore, India.1
  2. UG student, Dept. of ECE , Sri Ramakrishna Institute Of Technology, Coimbatore, India.2
  3. UG student, Dept. of ECE , Sri Ramakrishna Institute Of Technology, Coimbatore, India.3
  4. Associate professor, Dept. of ECE , Sri Ramakrishna Institute Of Technology, Coimbatore, India.4
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Abstract

The rapid growth in physiological sensors, low-power integrated circuits, and wireless communication has enabled a new invention of wireless sensor networks, now used for purposes such as monitoring traffic and health etc. Wireless body area network (BAN) is a promising technology for real-time monitoring of physiological signals to support medical applications. In order to ensure the trustworthy and reliable gathering of patient’s critical health information, it is essential to provide node authentication servicing a BAN, which prevents an attacker from impersonation and false data/command injection. Cryptographic techniques are observed to provide significant results in protecting data from hackers and attackers. Some of the existing cryptographic algorithms such as selective encryption provide first-rate results. The present research work mainly deals with securing the ECG data in Wireless Body Area Sensor Network before transmission. Neighboring nodes in BANs to share a common key generated by electrocardiogram (ECG) signals. The improved IJS scheme is proposed to set up the key agreement for the message authentication. The proposed ECG-IJS key agreement can secure data communications over BANs in a plug-n-play manner without any key distribution overheads. Both the simulation and experimental results are presented, which demonstrate that the proposed ECG-IJS scheme can achieve better security performance in terms of several performance metrics such as false acceptance rate (FAR) and false rejection rate (FRR) than other existing approaches. In addition, the power consumption analysis also shows that the proposed ECG-IJS scheme can achieve energy efficiency for BANs.

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