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. 2022;94(6):595-608.
doi: 10.1007/s11265-021-01704-9. Epub 2021 Oct 14.

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

Bhaskara S Egala  1 , Ashok K Pradhan  1 , Venkataramana Badarla  2 , Saraju P Mohanty  3
Affiliations

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

Bhaskara S Egala et al. J Signal Process Syst. 2022.

Abstract

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.

Keywords: Artificial Intelligence (AI) / Machine Learning (ML); Blockchain; Collaborated Medical Database (CMD); Fog Computing; Health Cyber-Physical Systems (H-CPS); Pandemic Detection and Control.

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Conflict of interest statement

Conflicts of InterestThe authors declare that they have no conflict of interest and there was no human or animal testing or participation involved in this research. All data were obtained from public domain sources.

Figures

Figure. 1
Figure. 1
The Overview of iBlock Architecture.
Figure. 2
Figure. 2
Overview of Blockchain Ledger Creation or Blocks Creation Process.
Figure. 3
Figure. 3
Overview of iBlock in Layered Architecture.
Figure. 4
Figure. 4
Overview of the Proposed System Internal Flow.
Figure. 5
Figure. 5
Overview of iBlock Logical Operational Flow.
Figure. 6
Figure. 6
Overview of the Proposed Systems Working Flow.
Figure. 7
Figure. 7
Unique Pseudo Digital Identity Generation Function.
Figure. 8
Figure. 8
The Most Affected Countries with Predicted and Survival Values.
Figure. 9
Figure. 9
iBlock execution process on VM1 Command-line Interface.
Figure. 10
Figure. 10
iBlock ledger information in Hyperledger Explorer.
Figure. 11
Figure. 11
Block information of iBlock on Test-bed.
See this image and copyright information in PMC

References

    1. Egala, B. S., Pradhan, A. K., Badarla, V. R., & Mohanty, S. P. (2021). Fortified-chain: A blockchain based framework for security and privacy assured internet of medical things with effective access control. IEEE Internet of Things Journal Online first, 1–1.
    1. Egala, B. S., Priyanka, S., & Pradhan, A. K. (2019). Shpi: Smart healthcare system for patients in icu using iot. In 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1–6.
    1. Joshi, A. M., Shukla, U. P., & Mohanty, S. P. (2020). Smart healthcare for diabetes: A COVID-19 perspective.
    1. Ranisch, R., Nijsingh, N., Ballantyne, A., van Bergen, A., Buyx, A., Friedrich, O., Hendl, T., Marckmann, G., Munthe, C., & Wild, V. (2020). Digital contact tracing and exposure notification: ethical guidance for trustworthy pandemic management. Ethics and Information Technology Online first, 1–1. - PMC - PubMed
    1. Qamar, M. A. (2020). COVID-19: a look into the modern age pandemic. Journal of Public Health, 4, 1–6. - PMC - PubMed

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