Computationally efficient mutual authentication protocol for remote infant incubator monitoring system.

Clicks: 324
ID: 47961
2019
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Abstract
Internet of Things (IoT), cloud computing and wireless medical sensor networks have significantly improved remote healthcare monitoring. In a healthcare monitoring system, many resource-limited sensors are deployed to sense, process and communicate the information. However, continuous and accurate operations of these devices are very important, especially in the infant incubator monitoring system. Because important decisions are made on the received information. Therefore, it is necessary to ensure the authenticity between the incubator monitoring system and doctors. In this work, a public key encryption based computationally efficient mutual authentication protocol is proposed for secure data transmission between incubator monitoring systems and doctors or administrators. The proposed protocol improves performance and reduces the computational cost without compromising the security. The security analysis part shows the strength of the proposed protocol against various attacks, performance analysis part shows that the proposed protocol performs better than other existing protocol based on Rivest-Shamir-Adleman and elliptic-curve cryptography schemes.
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jegadeesan2019computationallyhealthcare Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jegadeesan, Subramani;Dhamodaran, Muneeswaran;Azees, Maria;Shanmugapriya, Swaminathan Sri;
Journal healthcare technology letters
Year 2019
DOI
10.1049/htl.2018.5006
URL
Keywords
health care Wireless sensor networks Internet of Things authenticity cloud computing cryptography patient monitoring protocols computational cost doctors accurate operations computationally efficient mutual authentication protocol continuous operations cryptographic protocols existing protocol healthcare monitoring system incubator monitoring systems message authentication public key cryptography received information remote healthcare monitoring remote infant incubator monitoring system resource-limited sensors telecommunication security wireless medical sensor networks

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