Blockchain for IoT Systems

Name: Blockchain for IoT Systems
Price: 192.75 AUD
Availability: PreOrder

Concept, Framework and Applications

By: Ahmed A Elngar (Editor), V Sridhar (Editor), Sita Rani (Editor), Piyush Kumar Pareek (Editor), Pankaj Bhambri (Editor)

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Paperback | 20 July 2026 | Edition Number 1

At a Glance

Format
Paperback

Dimensions(cm)
23.4 x 15.6

Paperback

$192.75

or 4 interest-free payments of $48.19 with

Available: 20th July 2026

Preorder. Will ship when available.

Blockchain and distributed-ledger technologies enable new modes of communication, synchronization, and transfer of value with a broad impact on Internet of Things (IoT), Data Science, society, industry, commerce, and government. This book studies the potential impact of blockchain and distributed-ledger technologies on IoT. It highlights the application of possible solutions in the domain of blockchain and IoT system security, including cryptology, distributed systems, law, formal methods, code verification and validation, software, and systems metrics. As the field is growing fast, the book adapts to the changing research landscape, integrates and cross-links studies and citations in related subfields, and provides an overview of these fields and how they complement each other.

â¢ Highlights how the security aspect of the integration of blockchain with IoT will help to design secure data solutions for various domains

â¢ Offers fundamental knowledge of the blockchain concept and its usage in real-life applications

â¢ Presents current and future trends on the IoT and blockchain with an efficient, scalable, and sustainable approach

â¢ Reviews future developments in blockchain and IoT in future job opportunities

â¢ Discusses how blockchain for IoT systems can help a varied range of end-users to access computational and storage resources

This book is intended for postgraduate students and researchers in the departments of computer science, working in the areas of IoT, blockchain, deep learning, machine learning, image processing, and big data.

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