Security Issues and Privacy Concerns in Industry 4.0 Applications. Группа авторов

      

Table of Contents

      1  Cover

      2  Title page

      3  Copyright

      4  Preface

      5  1 Industry 4.0: Smart Water Management System Using IoT 1.1 Introduction 1.2 Preliminaries 1.3 Literature Review on SWMS 1.4 Conclusion References

      6  2 Fourth Industrial Revolution Application: Network Forensics Cloud Security Issues 2.1 Introduction 2.2 Generic Model Architecture 2.3 Model Implementation 2.4 Cloud Security Impact on M2M Communication 2.5 Conclusion References

      7  3 Regional Language Recognition System for Industry 4.0 3.1 Introduction 3.2 Automatic Speech Recognition System 3.3 Literature Survey on Existing TSRS 3.4 Conclusion References

      8  4 Approximation Algorithm and Linear Congruence: An Approach for Optimizing the Security of IoT-Based Healthcare Management System 4.1 Introduction 4.2 Literature Survey 4.3 Problem Domain 4.4 Solution Domain and Objectives 4.5 Proposed Work 4.6 Results and Discussion 4.7 Conclusion References

      9  5 A Hybrid Method for Fake Profile Detection in Social Network Using Artificial Intelligence 5.1 Introduction 5.2 Literature Survey 5.3 Methodology 5.4 Result Analysis 5.5 Conclusion References

      10  6 Packet Drop Detection in Agricultural-Based Internet of Things Platform 6.1 Introduction 6.2 Problem Statement and Related Work 6.3 Implementation of Packet Dropping Detection in IoT Platform 6.4 Performance Analysis 6.5 Conclusion References

      11  7 Smart Drone with Open CV to Clean the Railway Track 7.1 Introduction 7.2 Related Work 7.3 Problem Definition 7.4 The Proposed System 7.5 Experimental Results 7.6 Conclusion References

      12  8 Blockchain and Big Data: Supportive Aid for Daily Life 8.1 Introduction 8.2 Blockchain vs. Bitcoin 8.3 Blockchain Components 8.4 Categories of Blockchain 8.5 Blockchain Applications 8.6 Blockchain in Different Sectors 8.7 Blockchain Implementation Challenges 8.8 Revolutionized Challenges in Industries 8.9 Conclusion References

      13  9 A Novel Framework to Detect Effective Prediction Using Machine Learning 9.1 Introduction 9.2 ML-Based Prediction 9.3 Prediction in Agriculture 9.4 Prediction in Healthcare 9.5 Prediction in Economics