Industry 4.0 Interoperability, Analytics, Security, and Case Studies

Length: 262 pages
Edition: 1
Language: English
Publisher: CRC Press
Publication Date: 2021-01-22
ISBN-10: 0367501120
ISBN-13: 9780367501129
Sales Rank: #7151017 (See Top 100 Books)

ll over the world, vast research is in progress on the domain of Industry 4.0 and related techniques. Industry 4.0 is expected to have a very high impact on labor markets, global value chains, education, health, environment, and many social economic aspects.

Industry 4.0 Interoperability, Analytics, Security, and Case Studies provides a deeper understanding of the drivers and enablers of Industry 4.0. It includes real case studies of various applications related to different fields, such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, machine learning, virtualization, decentralization, blockchain, fog computing, and many other related areas. Also discussed are interoperability, design, and implementation challenges.

Researchers, academicians, and those working in industry around the globe will find this book of interest.

FEATURES

Provides an understanding of the drivers and enablers of Industry 4.0
Includes real case studies of various applications for different fields
Discusses technologies such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, machine learning, virtualization, decentralization, blockchain, fog computing, and many other related areas
Covers design, implementation challenges, and interoperability
Offers detailed knowledge on Industry 4.0 and its underlying technologies, research challenges, solutions, and case studies

Cover
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Contents
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Chapter 1 Big Data Analytics and Machine Learning for Industry 4.0: An Overview
Chapter 2 Impact of Blockchain-Based Cyber Security Implementing Industry 4.0
Chapter 3 Hybrid Huffman Tree Model for Securing Medical Data Using Steganography
Chapter 4 Energy Conservation in IOT-Based Intelligent Transport System
Chapter 5 Digital Information System for Attack Reduction in Industry 4.0
Chapter 6 An Intelligent Blockchain-Based Framework for Securing Smart Grid
Chapter 7 Intelligent Fog Computing for Industrial Wireless Sensor Networks
Chapter 8 A Secure Data Sharing Scheme Based on Blockchain for Industrial Internet of Things Using Consensus Algorithm
Chapter 9 Smart Trust Management Scheme for Detecting Attacks in IoT and Ubiquitous Computing
Chapter 10 IoT-Based Smart Pipeline Leakage Detecting System for Petroleum Industries
Chapter 11 IOT-Based Smart Irrigation Systems
Chapter 12 Safety Wing for Industry (SWI 2020) – An Advanced Unmanned Aerial Vehicle Design for Safety and Security Facility Management in Industries
Chapter 13 An Efficient Decentralized Medical Prescription Tracking Using Blockchain
Chapter 14 Blockchain for Industry 4.0: An Assessment of Blockchain Adoptability
Chapter 15 An Effective E-Learning Mechanism to Meet the Learning Demand of Industry 4.0
Index