Blockchain Technology Solutions For The Security Of Iot-Based Healthcare Systems (Cognitive Data Science In Sustainable Computing)

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. Highlights the coming surge of IoT based healthcare wearables and predicts that centralized networks in their current capacity will be incapable to meet the data storage demands Outlines the major benefits and challenges associated with the integration of blockchain with IoT healthcare systems Investigates use-cases and the latest research on securing healthcare IoT systems using blockchain technology Discusses the evolution of blockchain technology, from fundamental theories to applications in healthcare systems Gathers and investigates the most recent research solutions that handle security and privacy threats while considering resource constrained IoT healthcare devices

• | Author: Bharat Bhushan, Sudhir Kumar Sharma, Muzafer Saracevic, Azedine Boulmakoul
• | Publisher: Academic Press
• | Publication Date: Jan 11, 2023
• | Number of Pages: 314 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0323991998
• | ISBN-13: 9780323991995