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A Secure Remote Clinical Sensor Network Approach for Privacy Enhancement

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Published under licence by IOP Publishing Ltd
, , Citation B Sophia et al 2021 J. Phys.: Conf. Ser. 1916 012107 DOI 10.1088/1742-6596/1916/1/012107

This article is retracted by 2021 J. Phys.: Conf. Ser. 1916 012346

1742-6596/1916/1/012107

Abstract

Health being the biggest concern of the patients all around the globe, e-healthcare Remote Clinical Sensor Network assists in gathering the crucial body information of individual boundaries using sensors. There are chances forlots of issues like absence of vigor, diminished framework's adequacy, bogus caution, since it is remote in nature. The security and protection assurance of the information gathered has been a major concern factor to worry about. Hence, we presented fused secure and fuzzy combination framework focusing on these issues to accomplish productive secure transmission and information combination. The proposed technique is on thought of providing a secured key and encoded by AES i.e., Advanced Encryption Standard mechanism. It handles loose information for less utilization of energy and therefore increasing the lifetime of the network. And thus the experimental results ensure the energy utilization, security and the proficiency of the put forth strategy.

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10.1088/1742-6596/1916/1/012107