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A Secure Data Storage Architecture for Internet of Medical Things (IoMT) Using an Adaptive Gaussian Mutation Based Sine Cosine Optimization Algorithm and Fuzzy-Based Secure Clustering

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Názov: A Secure Data Storage Architecture for Internet of Medical Things (IoMT) Using an Adaptive Gaussian Mutation Based Sine Cosine Optimization Algorithm and Fuzzy-Based Secure Clustering
Autori: D. J. Joel Devadass Daniel, S. Ebenezer Juliet
Zdroj: Journal of Medical Imaging and Health Informatics. 11:2883-2890
Informácie o vydavateľovi: American Scientific Publishers, 2021.
Rok vydania: 2021
Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Popis: The fast-growing Internet of Things (IoT) paradigm can be referred to be the interconnection of physical things or human beings along with the digital electronics devices, Softwares to exchange data with centralized systems through the defined communication infrastructures. Moreover, it provides better opportunities for the direct connection between the physical world and computer-based systems. Nevertheless, the security of data transmission through IoMT (Internet of Medical Things) is the biggest challenge. Hence to provide better security we proposed a novel method known as, Fuzzy based Adaptive Gaussian Mutation based Sine Cosine Optimization approach to ensure security and Quality of Service (QoS) by exploiting the Mutual authentication mechanism. Moreover, an adaptive Gaussian mutation-based SCO algorithm is exploited for cluster formulation of IoMT nodes. The Intuitionistic fuzzy based weight estimation is made for the selection of CH and effective routing. Our proposed work is compared to several recent works. From the performance analysis and evaluation, we conclude that the proposed work outperforms all the existing works and provides better QoS and security.
Druh dokumentu: Article
Jazyk: English
ISSN: 2156-7018
DOI: 10.1166/jmihi.2021.3838
Prístupové číslo: edsair.doi...........e8ff80ffb364346d1f7edf438ee04d8b
Databáza: OpenAIRE
Popis
Abstrakt:The fast-growing Internet of Things (IoT) paradigm can be referred to be the interconnection of physical things or human beings along with the digital electronics devices, Softwares to exchange data with centralized systems through the defined communication infrastructures. Moreover, it provides better opportunities for the direct connection between the physical world and computer-based systems. Nevertheless, the security of data transmission through IoMT (Internet of Medical Things) is the biggest challenge. Hence to provide better security we proposed a novel method known as, Fuzzy based Adaptive Gaussian Mutation based Sine Cosine Optimization approach to ensure security and Quality of Service (QoS) by exploiting the Mutual authentication mechanism. Moreover, an adaptive Gaussian mutation-based SCO algorithm is exploited for cluster formulation of IoMT nodes. The Intuitionistic fuzzy based weight estimation is made for the selection of CH and effective routing. Our proposed work is compared to several recent works. From the performance analysis and evaluation, we conclude that the proposed work outperforms all the existing works and provides better QoS and security.
ISSN:21567018
DOI:10.1166/jmihi.2021.3838