Research Article
Cloud-based Secure TeleMedicine Information System using Crypto-Biometric Techniques
@ARTICLE{10.4108/eai.13-7-2018.163837, author={Dindayal Mahto and Dilip Kumar Yadav}, title={Cloud-based Secure TeleMedicine Information System using Crypto-Biometric Techniques}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={5}, number={20}, publisher={EAI}, journal_a={PHAT}, year={2019}, month={11}, keywords={Elliptic Curve Cryptography, RSA, Iris Biometrics, Asymmetric-key Cryptography, Patient, Doctor}, doi={10.4108/eai.13-7-2018.163837} }- Dindayal Mahto
Dilip Kumar Yadav
Year: 2019
Cloud-based Secure TeleMedicine Information System using Crypto-Biometric Techniques
PHAT
EAI
DOI: 10.4108/eai.13-7-2018.163837
Abstract
INTRODUCTION: TeleMedicine Information System (TMIS) uses information and communication technology (ICT) for providing remote medical consultations. Taking the benefits of ICT, a sick person may distantly get regular telecare medical consultations with his/her remote medico. The backbone of ICT is the Internet, which is open-standard architecture. Due to the openness of the architecture, there are many security vulnerabilities to the TMIS.
OBJECTIVES: To provide secured telemedicine consultation between a sick person and a medico and, to maintain the privacy of the sick person information.
METHODS: This paper proposes a security enhancement to the TMIS using crypto-biometrics fusion, which consists of Elliptic Curve Cryptography (ECC) algorithm and iris biometrics. The paper also compares the efficiency of ECC with the Rivest-Shamir-Adleman (RSA) algorithm.
RESULTS: The result of the simulation proves that the offered model provides a high level and robust security than RSA based model.
CONCLUSION: This paper provides robust user authentication and achieves the data confidentiality of the TMIS, which uses a cloud computing system for its smooth functioning and wider scope.
Copyright © 2019 Dindayal Mahto et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.