SVD Based Authentication in Remote Health Monitoring System
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 5 Issue 6, June 2016 | Popularity: 6.9 / 10


     

SVD Based Authentication in Remote Health Monitoring System

Haritha M., Bijin Bodheswaran


Abstract: Remote health monitoring system is a technology to enable monitoring of patients outside the hospitals (e. g. in the home), which may help to increase access to care and reduce the cost of healthcare. Patient's authentication is a necessary security requirement in remote health monitoring system in order to verify whether the sensors are monitoring the right person or not. In this paper, we present a SVD based authentication in remote health monitoring system in order to determine the claimed identity is true or false. The proposed method employs a cascade of two transforms, the 4 level-discrete wavelet transform and the singular value decomposition (SVD). The major steps includes, the watermark embedding procedure, watermark extraction procedure and the verification procedure. The data to be authenticated is encrypted using SHA-1 algorithm used as the watermark bits which is embedding on the singular values of the DWT sub-bands of the sensor data. The claimed patient is verified by comparing the extracted watermark bits with the hash database at the authentication server.


Keywords: Authentication, Watermarking, Hash, Singular value decomposition, 4-level discrete wavelets transform


Edition: Volume 5 Issue 6, June 2016


Pages: 1476 - 1479


DOI: https://www.doi.org/10.21275/NOV164459


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Haritha M., Bijin Bodheswaran, "SVD Based Authentication in Remote Health Monitoring System", International Journal of Science and Research (IJSR), Volume 5 Issue 6, June 2016, pp. 1476-1479, https://www.ijsr.net/getabstract.php?paperid=NOV164459, DOI: https://www.doi.org/10.21275/NOV164459

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