A biometric-based security for data authentication in Wireless Body Area Network (WBAN)

The empowerment in wireless communication technologies and sensors have developed the Wireless Body Area Network (WBAN). In the past few years, many researchers have been focusing on building system architecture of health monitoring to improve the technical requirement specifically designed for WBAN. Less research was found in providing the strong security system. As part of communication medium, WBAN faced various security issues such as loss of data, authentication and access control. Implementing high security system leads to inconsistency in computational performance. It is recommended that the security system for WBAN must be implemented with low computational complexity and high power efficiency. None of previous researches successfully identified solution to the above problem. This study explores the use of biometric characteristics in securing data communication within WBAN and reducing computational complexity as well as power efficiency. Hybrid authentication model is used as a conceptual framework for the system. Precisely, the proposed framework requires a unique feature of human body regarded as the authentication identity, while the other techniques use hardware and software to achieve the same purpose. In addition, an authentication process is provided by using this unique feature of the body as a key to develop a security system under the resource-constrained of WBAN sensor challenges.

[1]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[2]  Yuan-Ting Zhang,et al.  A novel key distribution of body area networks for telemedicine , 2004, IEEE International Workshop on Biomedical Circuits and Systems, 2004..

[3]  Yuan-Ting Zhang,et al.  Physiological Signal Based Entity Authentication for Body Area Sensor Networks and Mobile Healthcare Systems , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[4]  Geng-Hong Lin,et al.  Comparison of Heart Rate Variability Measured by ECG in Different Signal Lengths , 2006 .

[5]  Carmen C. Y. Poon,et al.  A novel biometrics method to secure wireless body area sensor networks for telemedicine and m-health , 2006, IEEE Communications Magazine.

[6]  R. Mukesh,et al.  Secure WBAN using rule-based IDS with biometrics and MAC authentication , 2008, HealthCom 2008 - 10th International Conference on e-health Networking, Applications and Services.

[7]  Sheng Zhong,et al.  Body sensor network security: an identity-based cryptography approach , 2008, WiSec '08.

[8]  Nikola Bogunovic,et al.  Feature set extension for heart rate variability analysis by using non-linear, statistical and geometric measures , 2009, Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces.

[9]  Jia Wang,et al.  An ECG-Based Signal Key Establishment Protocol in Body Area Networks , 2010, 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing.

[10]  Kyung Sup Kwak,et al.  Towards security issues and solutions in Wireless Body Area Networks , 2010, INC2010: 6th International Conference on Networked Computing.

[11]  Tae Hwan Oh,et al.  Security Issues on Wireless Body Area Network for Remote Healthcare Monitoring , 2010, 2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing.

[12]  Jong Hyuk Park,et al.  Hybrid security protocol for wireless body area networks , 2011, Wirel. Commun. Mob. Comput..

[13]  Min Chen,et al.  An Integrated Biometric-Based Security Framework Using Wavelet-Domain HMM in Wireless Body Area Networks (WBAN) , 2011, 2011 IEEE International Conference on Communications (ICC).