On the Use of Biometrics to Secure Wireless Biosensor Networks

The fast improvements in a variety of technologies such as microprocessing, sensing material, and most importantly wireless technology resulted in development of the wireless sensor network technology. Wireless sensors that can be either implantable inside the human body or wearable by individuals are called the wireless biosensors. The wireless biosensors are used to gather real time and continuous medical data from different parts of the human beings. This medical data is typically sent to an external sensor and then to its associated destination where data processing and a final decision is carried out. Due to nature of medical data and their usage, ensuring the security of this data is extremely important. There are several limitations associated with biosensor networks such as limitation in power, memory, computation capability, and communication rate which makes the wireless biosensor security a real challenging problem. These security challenges form substantial barriers for the wide adoption of the technology. Biometrics approach is an efficient way to overcome the insecurity of the wireless biosensor networks. In this paper, we will look at how biometrics has helped securing data in wireless biosensor networks, and present the remaining challenges to have a workable biometric-based security framework for wireless biosensor networks.

[1]  Yu Hen Hu,et al.  One-lead ECG for identity verification , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[2]  Ola Pettersson,et al.  ECG analysis: a new approach in human identification , 2001, IEEE Trans. Instrum. Meas..

[3]  Aleksandar Milenkovic,et al.  Journal of Neuroengineering and Rehabilitation Open Access a Wireless Body Area Network of Intelligent Motion Sensors for Computer Assisted Physical Rehabilitation , 2005 .

[4]  David L. Mills,et al.  Internet time synchronization: the network time protocol , 1991, IEEE Trans. Commun..

[5]  Avraham Rasooly,et al.  Development of biosensors for cancer clinical testing. , 2006, Biosensors & bioelectronics.

[6]  K. Wac,et al.  Mobile patient monitoring: The MobiHealth system , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  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..

[8]  Syed K. Islam,et al.  A low-power RF integrated circuit for implantable sensors , 2006 .

[9]  Hongliang Ren,et al.  Physiological information acquisition through wireless biomedical sensor networks , 2005, 2005 IEEE International Conference on Information Acquisition.

[10]  Mihail L. Sichitiu,et al.  Simple, accurate time synchronization for wireless sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[11]  Deborah Estrin,et al.  Proceedings of the 5th Symposium on Operating Systems Design and Implementation Fine-grained Network Time Synchronization Using Reference Broadcasts , 2022 .

[12]  Sandeep K. S. Gupta,et al.  TARA: Thermal-Aware Routing Algorithm for Implanted Sensor Networks , 2005, DCOSS.

[13]  Kay Römer Time synchronization in ad hoc networks , 2001, MobiHoc '01.

[14]  Anil K. Jain,et al.  Biometric cryptosystems: issues and challenges , 2004, Proceedings of the IEEE.

[15]  Saurabh Ganeriwal,et al.  Timing-sync protocol for sensor networks , 2003, SenSys '03.

[16]  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.

[17]  Sandeep K. S. Gupta,et al.  Biosec: a biometric based approach for securing communication in wireless networks of biosensors implanted in the human body , 2003, 2003 International Conference on Parallel Processing Workshops, 2003. Proceedings..