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A Novel Secure Routing Protocol based on Retina Biometric Authentication
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The development of the internet in the recent years leads to the security and authentication of users data. It is still a challenging problem in the Wireless Body Sensor Network (WBSN). It is important to protect the personal medical and health information collected by the biosensors. To protect the physiological data biometric authentication is implemented on physical features to provide privacy. Biometric field recently works on reduce in process delay and enhances the level of accuracy. WBSN authenticates systems works based on retina intrinsically of physiological and behavioral characteristics of persons. It provides solutions to network security problems by replacing the authentication component of the traditional systems. The experimental results shows that by implementing BFTASR protocol on retina authentication performance proves that more secure than existing approach.
Keywords
Biometric, Image Acquisition, Image Pre-Processing and Wireless Body Sensor Network (WBSN).
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- Pathania, S. and Bilandi, N., 2014. Security issues in Wireless Body area network. Int J ComputSci Mobile Comput, 3(4), pp.1171-1178.
- Brussee, P.W.G. and Pouwelse, J.A., 2015. Survey of robust and resilient social media tools on Android. arXiv preprint arXiv:1512.00071.
- Saraswathi, K., Jayaram, B. and Balasubramanian, R., 2011. Retinal biometrics based authentication and key exchange system. International Journal of Computer Application, 19(1).
- Borah, T.R., Sarma, K.K. And Talukdar, P.H., Retina Based Biometric Identification System In 2012.
- Uludag U, Pankanti S, Prabhakar S, Jain AK. Biometric cryptosystems: issues and challenges. Proceedings of the IEEE. 2004 Jun; 92(6):948-60.
- Panchal, P., Bhojani, R. and Panchal, T., 2016. An Algorithm for Retinal Feature Extraction Using Hybrid Approach. Procedia Computer Science, 79, pp.61-68.
- Choraś, R.S., 2012, August. Retina recognition for biometrics. In Digital Information Management (ICDIM), 2012 Seventh International Conference on (pp. 177-180). IEEE.
- Kirbas, C. and Quek, F., 2004. A review of vessel extraction techniques and algorithms. ACM Computing Surveys (CSUR), 36(2), pp.81-121.
- Xu, L. and Luo, S., 2010. A novel method for blood vessel detection from retinal images. Biomedical engineering online, 9(1), p.14.
- Farzin, H., Abrishami-Moghaddam, H. and Moin, M.S., 2008. A novel retinal identification system. EURASIP Journal on Advances in Signal Processing, 2008(1), p.280635.
- Tajuddin, M. and Nandini, C., 2013. Cryptographic Key Generation using Retina Biometric Parameter. International Journal of Engineering and Innovative Technology (IJEIT) Volume, 3.
- Borah, T.R., Sarma, K.K. and Talukdar, P.H., 2013. Retina and fingerprint based biometric identification system. International Journal of Computer Applications (IJCA), 74.
- Barkhoda, W., Tab, F.A. and Amiri, M.D., 2009, October. Rotation invariant retina identification based on the sketch of vessels using angular partitioning. In Computer Science and Information Technology, 2009. IMCSIT'09. International Multiconference on (pp. 3-6). IEEE.
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