
Security Issues and Privacy Concerns in Industry 4.0 Applications
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Security Issues and Privacy Concerns in Industry 4.0 Applications
About this book
SECURITY ISSUES AND PRIVACY CONCERNS IN INDUSTRY 4.0 APPLICATIONS
Written and edited by a team of international experts, this is the most comprehensive and up-to-date coverage of the security and privacy issues surrounding Industry 4.0 applications, a must-have for any library.
The scope of Security Issues and Privacy Concerns in Industry 4.0 Applications is to envision the need for security in Industry 4.0 applications and the research opportunities for the future. This book discusses the security issues in Industry 4.0 applications for research development. It will also enable the reader to develop solutions for the security threats and attacks that prevail in the industry. The chapters will be framed on par with advancements in the industry in the area of Industry 4.0 with its applications in additive manufacturing, cloud computing, IoT (Internet of Things), and many others. This book helps a researcher and an industrial specialist to reflect on the latest trends and the need for technological change in Industry 4.0.
Smart water management using IoT, cloud security issues with network forensics, regional language recognition for industry 4.0, IoT-based health care management systems, artificial intelligence for fake profile detection, and packet drop detection in agriculture-based IoT are covered in this outstanding new volume. Leading innovations such as smart drone for railway track cleaning, everyday life-supporting blockchain and big data, effective prediction using machine learning, classification of dog breed based on CNN, load balancing using the SPE approach and cyber culture impact on media consumers are also addressed.
Whether a reference for the veteran engineer or an introduction to the technologies covered in the book for the student, this is a must-have for any library.
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Information
1
Industry 4.0: Smart Water Management System Using IoT
AbstractIndustry 4.0 will provide increased automation, self-monitoring and improved communication in most industrial sectors in the near future. This can be achieved through a variety of sensors and different cloud platforms controlled through Internet of Things (IoT). The Industry 4.0 era has given innovative solutions to water service providers for distribution, monitoring, leakage detection and water metering. The existing method of managing water in municipalities requires manual attention. Further, water wastage, infrequent water cleaning, and at times contaminated water are considered the main drawbacks in the conventional municipality water management system. The quality of drinking water is one of the vital key elements for a healthy life. Therefore, the concept of Industry 4.0 can be employed to convert a manual into an automated system for managing municipality water. Hence, this paper surveys several research works on automated water management systems. From the extensive survey, it has been decided to propose a Smart Municipality Water Management System (SMWMS) to ensure good public health without water-borne diseases. This SMWMS assists the municipality in water conservation and in safeguarding public health; it can be widely employed in different applications such as the residential, agricultural and industrial sectors, to name a few.Keywords: Industry 4.0, Internet of Things, water industry, municipality water, water quality
1.1 Introduction
The right moral compass is trying hard to think about what customers want.– Sundar Pichai
1.1.1 Industry 4.0
1.1.2 IoT
1.1.3 Smart City
1.1.4 Smart Water Management
When the well is dry, we’ll know the worth of water.– Benjamin Franklin
1.2 Preliminaries
Table of contents
- Cover
- Table of Contents
- Title page
- Copyright
- Preface
- 1 Industry 4.0: Smart Water Management System Using IoT
- 2 Fourth Industrial Revolution Application: Network Forensics Cloud Security Issues
- 3 Regional Language Recognition System for Industry 4.0
- 4 Approximation Algorithm and Linear Congruence: An Approach for Optimizing the Security of IoT-Based Healthcare Management System
- 5 A Hybrid Method for Fake Profile Detection in Social Network Using Artificial Intelligence
- 6 Packet Drop Detection in Agricultural-Based Internet of Things Platform
- 7 Smart Drone with Open CV to Clean the Railway Track
- 8 Blockchain and Big Data: Supportive Aid for Daily Life
- 9 A Novel Framework to Detect Effective Prediction Using Machine Learning
- 10 Dog Breed Classification Using CNN
- 11 Methodology for Load Balancing in Multi-Agent System Using SPE Approach
- 12 The Impact of Cyber Culture on New Media Consumers
- About the Editors
- Index
- End User License Agreement