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Multi-Column Key Authentication for Healthcare Systems (MCKA-HS) over the Cloud-Sensor Communications

Author(s):

Shilpa Kansal , Department of CSE,Punjabi University Regional Centre for Information Technology and Management, Mohali, Punjab, India; Navpreet Kaur, Department of CSE,Punjabi University Regional Centre for Information Technology and Management, Mohali, Punjab, India

Keywords:

Adaptive Healthcare Security, Healthcare Authentication, MCKA-HS, Wireless Healthcare Sensors (WHS)

Abstract

The healthcare networks have grown the popularity in the recent years. The healthcare networks suffer from the major problem of security over the small computational powered wireless healthcare sensors. In this paper, the major focus has been kept on the development of the lightweight but secure and robust authentication scheme. The proposed healthcare authentication model is based upon the multi-column key computations in the complex manner for the preparation of the robust and secure authentication scheme. The proposed authentication model has been designed for the higher order robustness in the cloud based healthcare network security architecture for the communication established between the wireless healthcare sensor (WHS) and the cloud healthcare server (CHS). The proposed multi-column authentication is based upon the complex key sharing between both of the ends over the healthcare networks to provide the higher privacy to the healthcare data. The proposed model has been designed using the equation driven program using the mathematical computational modules for key data generation and verification over the both ends of the healthcare communication. The CHS propagates the other set of the equation programming using the various mathematical methods collaborated to handle the key verification procedure. The key sharing method is supervised by the transmission module which circulates the key data between both of the nodes in the authentication pair. The proposed model has been evaluated on the basis of various performance parameters for the performance evaluation. The experimental results have clearly shown the robustness of the proposed model in comparison with the existing model.

Other Details

Paper ID: IJSRDV4I50814
Published in: Volume : 4, Issue : 5
Publication Date: 01/08/2016
Page(s): 1589-1593

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