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  • The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and Emerging Technologies

    The Data-Driven Blockchain Ecosystem by Khang, Alex; Chowdhury, Subrata; Sharma, Seema;

    Fundamentals, Applications, and Emerging Technologies

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      • Publisher's listprice GBP 45.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        21 971 Ft (20 925 Ft + 5% VAT)
      • Discount 20% (cc. 4 394 Ft off)
      • Discounted price 17 577 Ft (16 740 Ft + 5% VAT)

    21 971 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Short description:

    This book focuses on the futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools with the models of the data-driven blockchain ecosystem.

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    Long description:

    This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven blockchain ecosystems.


    The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and Emerging Technologies discusses how to implement and manage processes for releasing and delivering blockchain applications. It presents the core of blockchain technology, IoT-based and AI-based blockchain systems, and various manufacturing areas related to Industry 4.0. The book illustrates how to apply design principles to develop and manage blockchain networks, and also covers the role that cloud computing plays in blockchain applications.


    All major technologies involved in blockchain-embedded applications are included in this book, which makes it useful to engineering students, researchers, academicians, and professionals interested in the core of blockchain technology.

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    Table of Contents:

    1. Comprehensive Analysis of Fundamentals, Innovation, and Key Challenges of Blockchain.


    2. Cryptocurrency Methodologies and Techniques.


    3. Framework for Modelling, Procuring, and Building Systems for Smart City Scenarios Using Blockchain Technology and IoT.


    4. Development of a Framework Model Using Blockchain to Secure Cryptocurrency Investment.


    5. A Blockchain Approach to Improving Digital Linked Management Information Systems (MIS).


    6. A Perspective on Blockchain-based Cryptocurrency to Boost A Futuristic Digital Economy.


    7. Application of Blockchain in Online Learning: Findings in Higher Education Certification.


    8. Robot Process Automation in Blockchain.


    9. A Novel Approach to Cryptography: Deep Learning-based Homomorphic Secure Searchable Encryption for Keyword Searches in the Blockchain Healthcare System.


    10. Design and Implementation of a Smart Healthcare System using Blockchain Technology with A Dragonfly Optimization-based Blowfish Encryption Algorithm.


    11. Implementation of a Blockchain-based Smart Shopping System for Automated Bill Generation using Smart Carts with Cryptographic Algorithms.


    12. Multi-Node Data Privacy Audit For Blockchain Integrity.


    13. IoT, AI, and Blockchain: An Integrated System Investigaton for Agriculture and Healthcare Units.


    14. Security And Privacy Challenges in Blockchain Application.


    15. Blockchain-based Cloud Resource Allocation Mechanisms for Privacy Preservation.


    16. Blockchain-based Privacy Protection Credential Model for Zero-Knowledge Proof over Distributed Systems.

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