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iBlock: An Intelligent Decentralised Blockchain-based Pandemic Detection and Assisting System

The recent COVID-19 outbreak highlighted the requirement for a more sophisticated healthcare system and real-time data analytics in the pandemic mitigation process. Moreover, real-time data plays a crucial role in the detection and alerting process. Combining smart healthcare systems with accurate r...

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Autores principales: Egala, Bhaskara S., Pradhan, Ashok K., Badarla, Venkataramana, Mohanty, Saraju P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515159/
https://www.ncbi.nlm.nih.gov/pubmed/34664014
http://dx.doi.org/10.1007/s11265-021-01704-9
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author Egala, Bhaskara S.
Pradhan, Ashok K.
Badarla, Venkataramana
Mohanty, Saraju P.
author_facet Egala, Bhaskara S.
Pradhan, Ashok K.
Badarla, Venkataramana
Mohanty, Saraju P.
author_sort Egala, Bhaskara S.
collection PubMed
description The recent COVID-19 outbreak highlighted the requirement for a more sophisticated healthcare system and real-time data analytics in the pandemic mitigation process. Moreover, real-time data plays a crucial role in the detection and alerting process. Combining smart healthcare systems with accurate real-time information about medical service availability, vaccination, and how the pandemic is spreading can directly affect the quality of life and economy. The existing architecture models are become inadequate in handling the pandemic mitigation process using real-time data. The present models are server-centric and controlled by a single party, where the management of confidentiality, integrity, and availability (CIA) of data is doubtful. Therefore, a decentralised user-centric model is necessary, where the CIA of user data is assured. In this paper, we have suggested a decentralized blockchain-based pandemic detection and assistance system (iBlock). The iBlock uses robust technologies like hybrid computing and IPFS to support system functionality. A pseudo-anonymous personal identity is introduced using H-PCS and cryptography for anonymous data sharing. The distributed data management module guarantees data CIA, security, and privacy using cryptography mechanisms. Furthermore, it delivers useful intelligent information in the form of suggestions and alerts to assist the users. Finally, the iBlock reduces stress on healthcare infrastructure and workers by providing accurate predictions and early warnings using AI/ML.
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spelling pubmed-85151592021-10-14 iBlock: An Intelligent Decentralised Blockchain-based Pandemic Detection and Assisting System Egala, Bhaskara S. Pradhan, Ashok K. Badarla, Venkataramana Mohanty, Saraju P. J Signal Process Syst Article The recent COVID-19 outbreak highlighted the requirement for a more sophisticated healthcare system and real-time data analytics in the pandemic mitigation process. Moreover, real-time data plays a crucial role in the detection and alerting process. Combining smart healthcare systems with accurate real-time information about medical service availability, vaccination, and how the pandemic is spreading can directly affect the quality of life and economy. The existing architecture models are become inadequate in handling the pandemic mitigation process using real-time data. The present models are server-centric and controlled by a single party, where the management of confidentiality, integrity, and availability (CIA) of data is doubtful. Therefore, a decentralised user-centric model is necessary, where the CIA of user data is assured. In this paper, we have suggested a decentralized blockchain-based pandemic detection and assistance system (iBlock). The iBlock uses robust technologies like hybrid computing and IPFS to support system functionality. A pseudo-anonymous personal identity is introduced using H-PCS and cryptography for anonymous data sharing. The distributed data management module guarantees data CIA, security, and privacy using cryptography mechanisms. Furthermore, it delivers useful intelligent information in the form of suggestions and alerts to assist the users. Finally, the iBlock reduces stress on healthcare infrastructure and workers by providing accurate predictions and early warnings using AI/ML. Springer US 2021-10-14 2022 /pmc/articles/PMC8515159/ /pubmed/34664014 http://dx.doi.org/10.1007/s11265-021-01704-9 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Egala, Bhaskara S.
Pradhan, Ashok K.
Badarla, Venkataramana
Mohanty, Saraju P.
iBlock: An Intelligent Decentralised Blockchain-based Pandemic Detection and Assisting System
title iBlock: An Intelligent Decentralised Blockchain-based Pandemic Detection and Assisting System
title_full iBlock: An Intelligent Decentralised Blockchain-based Pandemic Detection and Assisting System
title_fullStr iBlock: An Intelligent Decentralised Blockchain-based Pandemic Detection and Assisting System
title_full_unstemmed iBlock: An Intelligent Decentralised Blockchain-based Pandemic Detection and Assisting System
title_short iBlock: An Intelligent Decentralised Blockchain-based Pandemic Detection and Assisting System
title_sort iblock: an intelligent decentralised blockchain-based pandemic detection and assisting system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515159/
https://www.ncbi.nlm.nih.gov/pubmed/34664014
http://dx.doi.org/10.1007/s11265-021-01704-9
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