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Blockchain Technology Solutions for the Security of IoT-Based Healthcare Systems

Presents advanced coverage of major benefits and challenges in the integration of Blockchain and IoT healthcare systems

Bharat Bhushan (Edited by), Sudhir Kumar Sharma (Edited by), Muzafer Saracevic (Edited by), Azedine Boulmakoul (Edited by)

9780323991995, Elsevier Science

Paperback / softback, published 11 January 2023

314 pages
22.9 x 15.2 x 2 cm, 0.45 kg

Blockchain Technology Solutions for the Security of IoT-Based Healthcare Systems explores the various benefits and challenges associated with the integration of blockchain with IoT healthcare systems, focusing on designing cognitive-embedded data technologies to aid better decision-making, processing and analysis of large amounts of data collected through IoT. This book series targets the adaptation of decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures, as well as big data and Internet of Things (IoT) problems can be handled in practice.

Current Internet of Things (IoT) based healthcare systems are incapable of sharing data between platforms in an efficient manner and holding them securely at the logical and physical level. To this end, blockchain technology guarantees a fully autonomous and secure ecosystem by exploiting the combined advantages of smart contracts and global consensus. However, incorporating blockchain technology in IoT healthcare systems is not easy. Centralized networks in their current capacity will be incapable to meet the data storage demands of the incoming surge of IoT based healthcare wearables.

1. IoT: Fundamentals and challenges 2. Security issues of IoT 3. IoT-based Healthcare Systems 4. Emerging e-Health IoT Applications 5. Blockchain: Concept and Emergence 6. Application of Blockchain for security 7. Role of Blockchain in IoT based healthcare systems 8. Decentralized management of healthcare IoT devices 9. Blockchain based insurance and healthcare 10. Blockchain adoption strategies

Subject Areas: Artificial intelligence [UYQ], Computer networking & communications [UT]

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