Book description
All 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
Table of contents
- Cover
- Half-Title
- Series
- Title
- Copyright
- Contents
- Editors
- Contributors
- 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
Product information
- Title: Industry 4.0 Interoperability, Analytics, Security, and Case Studies
- Author(s):
- Release date: January 2021
- Publisher(s): CRC Press
- ISBN: 9781000338041
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