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Full Description
Convergence of Blockchain, AI, and IoT: Concepts and Challenges discusses the convergence of three powerful technologies that play into the digital revolution and blur the lines between biological, digital, and physical objects. This book covers novel algorithms, solutions for addressing issues in applications, security, authentication, and privacy.
The book provides an overview of the clinical scientific research enabling smart diagnosis equipment through AI. It presents the role these technologies play in augmented reality and blockchain, covers digital currency managed with bitcoin, and discusses deep learning and how it can enhance human thoughts and behaviors.
Targeted audiences range from those interested in the technical revolution of blockchain, big data and the Internet of Things, to research scholars and the professional market.
Contents
Chapter 1. Affiliation of Blockchain, IoT and Big Data: Demystified. Chapter 2. A Decentralized Privacy-Preserving Blockchain for IoT and Big Data in Health Care Applications. Chapter 3.Amalgamation of Blockchain, IoT, and Big Data by Using Distributed Hyperledger Framework. Chapter 4. Blockchain and Big Data for Decentralized Management of IoT-Driven Healthcare Devices. Chapter 5.Visualizing Process Data with Reliability Data in Era of Big Data and I(4.0). Chapter 6. Tracking or Maintenance: Tracking IoT-Based Devices Parts from Manufacture to End of Life by Leveraging Big Data in Blockchain Environment. Chapter 7. Jaya Process Optimization in IoT Applications. Chapter 8. Data Security Essentials for the Convergence of Blockchain, AI, and IoT. Chapter 9. Convergence of Blockchain and Artificial Intelligence in IoT for the Smart City. Chapter 10. Blockchain for Supply Chain in Pharmaceutical Industry: An Approach to CounterFeit Drug Detection.
