Abstract
In Body Sensor Networks (BSN) several sensor nodes are attached on, inside or around human body to monitor vital sign signals such as, Electrocardiogram (ECG), Electroencephalogram (EEG), Blood pressure etc. The information from each sensor node is very significant; therefore privacy and security is very important during data transmission in BSN. The conventional cryptographic approaches make use of cryptographic keys to achieve authentication, and use of these keys not only require high resource utilization and computation time, but also consume large amount of energy, power and memory in BSN. Therefore, it is necessary to develop power efficient and less computational complex authentication technique for BSN. In this paper we design a novel biometric algorithm which is based on biometric feature Electrocardiogram (ECG) and uses Data Authentication Function (DAF) for the security of BSN instead of utilizing traditional key generation procedure. Our proposed algorithm is compared with two cryptographic authentication techniques, Data Encryption Standard (DES) which is symmetric or private-key based encryption technique and RSA (Rivest Shamir Adleman) which is asymmetric or public-key based encryption scheme. Simulation is performed in MATLAB and results explain that our algorithm is efficient in terms of transmission time utilization and average remaining energy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bao, S.D., Zhang, Y.T., Shen, L.F.: Physiological signal based entity authentication for body area sensor networks and mobile healthcare systems. In: Proc. 27th Annual Conf. IEEE-EMBS, Shanghai, China (September 2005)
Wang, H., Fang, H., Xing, L., Chen, M.: An Integrated Biometric-Based Security Framework Using Wavelet- Domain HMM in Wireless Body Area Networks (WBAN). In: 2011 IICC, pp. 1–5 (June 2011)
Challa, N., Cam, H., Sikri, M.: Secure and Efficient Data Transmission over Body Sensor and Wireless Networks. Eurasip Journal on Advances in Signal Processing (2008)
Poon, C.C.Y., Bao, S.D., Zhang, Y.T.: A Novel Biometrics Method to Secure Wireless Body Area Sensor Networks for Telemedicine and M-health. To appear in IEEE Communications Magazine (April 2006)
Uludag, U., et al.: Biometric Cryptosystems: Issues and Challenges. Proc. IEEE 92(6), 948–960 (2004)
Lang, C.S., Lee, D.G., Han, L.-W., Park, L.H.: Hybrid security protocol for wireless body area networks. Wireless Communications and Mobile Computing, 277–288 (2011)
Bao, S.-D., Shen, L.-F., Zhang, Y.-T.: A Novel Key Distribution of Body Area Networks for Telemedicine. In: IEEE International Workshop on Biomedical Circuits & Systems (2004)
William, C., Tan, C.C., Wang, H.: Body Sensor Network Security: An Identity-Based Cryptography Approach. Security, 148–153 (2008)
Chen, M., Gonzalez, S.: Body area networks: A survey. MONET (2010)
Jain, A.K., Ross, A., Prabhakar, S.: An introduction to biometric recognition. IEEE Trans. Circ. Syst. Video Technol. 14(1), 4–20 (2004)
Reid, P.: Biometrics for Network Security, pp. 4–5. Prentice-Hall, Englewood Cliffs (2004)
Bao, S.-D., Zhang, Y.-T., Shen, L.-F.: A Design Proposal of Security Architecture for MedicalBody Sensor Networks. In: Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks (2006)
Miao, F., Jiang, L., Li, Y., Zhang, Y.-T.: A Novel Biometrics Based Security Solution for Body Sensor Networks. In: 2nd International Conference on Biomedical Engineering and Informatics, BMEI (2009)
Venkatasubramanian, K.K., Banerjee, A., Gupta, S.K.S.: PSKA: usable and secure key agreement scheme for body area networks. IEEE Transactions on Information Technology in Biomedicine 14(1), 60–68 (2010)
Zhang, G.H., Poon, C.C.Y., Zhang, Y.T.: A Fast Key Generation Method based on Dynamic Biometrics to Secure Wireless Body Sensor Networks for p-Health. In: 32nd Annual International Conference of the IEEE EMBS (2010)
Cherukuri, S., Venkatasubramanian, K.K., Gupta, S.K.S.: BioSec: A Biometric Based Approach for Securing Communication in Wireless Networks of Biosensors Implanted in the Human Body. In: Proc. IEEE Int’l. Conf. Parallel Processing Wksp., October 6-9, pp. 432–439 (2003)
Yao, L., Liu, B., Wu, G., Yao, K., Wang, J.: A Biometric Key Establishment Protocol for Body Area Networks. Hindawi Publishing Corporation International Journal of Distributed Sensor Networks 2011, 1–10
Bao, S.-D., Poon, C.C.Y., Zhang, Y.-T., Shen, L.-F.: Using the Timing Information of Heartbeats as an Entity Identifier to Secure Body Sensor Network. IEEE Transaction on Information Technology in Biomedicine 12(6) (November 2008)
Zhang, G.H., Poon, C.C.Y., Li, Y., Zhang, Y.T.: A Biometric Method to Secure Telemedicine Systems. In: 31st Annual International Conference of the IEEE EMBS, Minneapolis, Minnesota, USA, September 2-6 (2009)
Ramila, S.N., Ahmed, R., Abdollah, M.F., Dutkiewicz, E.: A Biometric-based Security for Data Authentication in Wireless Body Area Network (WBAN) (2013)
Zhang, G.H., Poon, C.C.Y., Zhang, Y.T.: A Review on Body Area Networks Security for Healthcare. ISRN Communications and Networking 2011, 1–8 (2011)
Undercoffer, J., Avancha, S., Joshi, A., Pinkston, J.: Security for sensor networks. In: Proceedings of the CADIP Research Symposium (2002)
Jovic, A., Bogunovic, N.: Feature set extension for heart rate variability analysis by using non-linear, statistical and geometric measures. In: Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces, pp. 35–40 (June 2009)
Pan, J., Tompkins, W.J.: A real-time QRS detection algorithm. IEEE Trans. Biomed. Eng. 32(3), 230–236 (1985)
Hamilton, P.S., Tompkins, W.J.: Quantitative investigation of Qrs detection rules using the Mit/Bih arrhythmia database. IEEE Trans. Biomed. Eng. 33(12), 1157–1165 (1986)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Pirbhulal, S., Zhang, H., Wu, W., Zhang, Y. (2015). A Novel Biometric Algorithm to Body Sensor Networks. In: Mukhopadhyay, S. (eds) Wearable Electronics Sensors. Smart Sensors, Measurement and Instrumentation, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-18191-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-18191-2_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18190-5
Online ISBN: 978-3-319-18191-2
eBook Packages: EngineeringEngineering (R0)