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

Bhaskara S Egala1, Ashok K Pradhan1, Venkataramana Badarla2

  • 1Department of Computer Science & Engineering, School of Engineering and Applied Science at SRM University, Amaravati, AP India.

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Summary

A new decentralized blockchain system, iBlock, enhances pandemic response using real-time data analytics. It ensures data security and privacy, offering early warnings and reducing healthcare system strain.

Keywords:
Artificial Intelligence (AI) / Machine Learning (ML)BlockchainCollaborated Medical Database (CMD)Fog ComputingHealth Cyber-Physical Systems (H-CPS)Pandemic Detection and Control

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Area of Science:

  • Health Informatics
  • Computer Science
  • Public Health

Background:

  • The COVID-19 pandemic revealed limitations in current healthcare systems for real-time data analysis.
  • Existing server-centric models compromise data confidentiality, integrity, and availability (CIA).
  • A decentralized approach is needed to ensure user data security and privacy during health crises.

Purpose of the Study:

  • To propose a decentralized blockchain-based system (iBlock) for pandemic detection and assistance.
  • To address the inadequacy of current models in handling real-time pandemic data.
  • To ensure the confidentiality, integrity, and availability of user data.

Main Methods:

  • Developed a decentralized blockchain-based system (iBlock).
  • Integrated hybrid computing and InterPlanetary File System (IPFS) for system functionality.
  • Implemented pseudo-anonymous identity using H-PCS and cryptography for secure data sharing.
  • Utilized AI/ML for accurate predictions and early warnings.

Main Results:

  • The iBlock system ensures data CIA, security, and privacy through distributed data management and cryptography.
  • Pseudo-anonymous identity management facilitates secure and private data sharing.
  • The system provides intelligent information, alerts, and early warnings to users.
  • AI/ML integration enables accurate pandemic predictions, reducing healthcare system burden.

Conclusions:

  • The decentralized iBlock system offers a robust solution for pandemic mitigation using real-time data.
  • iBlock enhances healthcare system efficiency and public safety by ensuring data security and providing timely alerts.
  • This blockchain-based approach improves upon existing server-centric models for pandemic management.