Security Issues and Privacy Concerns in Industry 4.0 Applications

  • 3h 47m
  • M. Niranjanamurthy, R. S. Anand, Shibin David
  • John Wiley & Sons (US)
  • 2021

The scope of Security Issues, 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 the 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 trend 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 system, 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 the 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.

In this Book

  • Industry 4.0: Smart Water Management System Using IoT
  • Fourth Industrial Revolution Application: Network Forensics Cloud Security Issues
  • Regional Language Recognition System for Industry 4.0
  • Approximation Algorithm and Linear Congruence: An Approach for Optimizing the Security of IoT-Based Healthcare Management System
  • A Hybrid Method for Fake Profile Detection in Social Network Using Artificial Intelligence
  • Packet Drop Detection in Agricultural-Based Internet of Things Platform
  • Smart Drone with Open CV to Clean the Railway Track
  • Blockchain and Big Data: Supportive Aid for Daily Life
  • A Novel Framework to Detect Effective Prediction Using Machine Learning
  • Dog Breed Classification Using CNN
  • Methodology for Load Balancing in Multi-Agent System Using SPE Approach
  • The Impact of Cyber Culture on New Media Consumers