Оглавление
Группа авторов. Security Issues and Privacy Concerns in Industry 4.0 Applications
Table of Contents
Guide
List of Illustrations
List of Tables
Pages
Security Issues and Privacy Concerns in Industry 4.0 Applications
Preface
1. Industry 4.0: Smart Water Management System Using IoT
1.1 Introduction
1.1.1 Industry 4.0
1.1.2 IoT
1.1.3 Smart City
1.1.4 Smart Water Management
1.2 Preliminaries
1.2.1 Internet World to Intelligent World
1.2.2 Architecture of IoT System
1.2.3 Architecture of Smart City
1.3 Literature Review on SWMS
1.3.1 Water Quality Parameters Related to SWMS
1.3.2 SWMS in Agriculture
1.3.3 SWMS Using Smart Grids
1.3.4 Machine Learning Models in SWMS
1.3.5 IoT-Based SWMS
1.4 Conclusion
References
2. Fourth Industrial Revolution Application: Network Forensics Cloud Security Issues
2.1 Introduction
2.1.1 Network Forensics
2.1.2 The Fourth Industrial Revolution
2.1.2.1 Machine-to-Machine (M2M) Communication
2.1.3 Cloud Computing
2.1.3.1 Infrastructure-as-a-Service (IaaS)
2.1.3.2 Challenges of Cloud Security in Fourth Industrial Revolution
2.2 Generic Model Architecture
2.3 Model Implementation
2.3.1 OpenNebula (Hypervisor) Implementation Platform
2.3.2 NetworkMiner Analysis Tool
2.3.3 Performance Matrix Evaluation & Result Discussion
2.4 Cloud Security Impact on M2M Communication
2.4.1 Cloud Computing Security Application in the Fourth Industrial Revolution (4.0)
2.5 Conclusion
References
3. Regional Language Recognition System for Industry 4.0
3.1 Introduction
3.2 Automatic Speech Recognition System
3.2.1 Preprocessing
3.2.2 Feature Extraction
3.2.2.1 Linear Predictive Coding (LPC)
3.2.2.2 Linear Predictive Cepstral Coefficient (LPCC)
3.2.2.3 Perceptual Linear Predictive (PLP)
3.2.2.4 Power Spectral Analysis
3.2.2.5 Mel Frequency Cepstral Coefficients
3.2.2.6 Wavelet Transform
3.2.3 Implementation of Deep Learning Technique
3.2.3.1 Recurrent Neural Network
3.2.3.2 Long Short-Term Memory Network
3.2.3.3 Hidden Markov Models (HMM)
3.2.3.4 Hidden Markov Models - Long Short-Term Memory Network (HMM-LSTM)
3.2.3.5 Evaluation Metrics
3.3 Literature Survey on Existing TSRS
3.4 Conclusion
References
4. Approximation Algorithm and Linear Congruence: An Approach for Optimizing the Security of IoT-Based Healthcare Management System
4.1 Introduction
4.1.1 IoT in Medical Devices
4.1.2 Importance of Security and Privacy Protection in IoT-Based Healthcare System
4.1.3 Cryptography and Secret Keys
4.1.4 RSA
4.1.5 Approximation Algorithm and Subset Sum Problem
4.1.6 Significance of Use of Subset Sum Problem in Our Scheme
4.1.7 Linear Congruence
4.1.8 Linear and Non-Linear Functions
4.1.9 Pell’s Equation
4.2 Literature Survey
4.3 Problem Domain
4.4 Solution Domain and Objectives
4.5 Proposed Work. 4.5.1 Methodology
4.5.2 Session Key Generation
4.5.3 Intermediate Key Generation
4.5.4 Encryption Process
4.5.5 Generation of Authentication Code and Transmission File
4.5.6 Decryption Phase
4.6 Results and Discussion
4.6.1 Statistical Analysis
4.6.2 Randomness Analysis of Key
4.6.3 Key Sensitivity Analysis
4.6.4 Security Analysis. 4.6.4.1 Key Space Analysis
4.6.4.2 Brute-Force Attack
4.6.4.3 Dictionary Attack
4.6.4.4 Impersonation Attack
4.6.4.5 Replay Attack
4.6.4.6 Tampering Attack
4.6.5 Comparative Analysis
4.6.5.1 Comparative Analysis Related to IoT Attacks
4.6.6 Significance of Authentication in Our Proposed Scheme
4.7 Conclusion
References
5. A Hybrid Method for Fake Profile Detection in Social Network Using Artificial Intelligence
5.1 Introduction
5.2 Literature Survey
5.3 Methodology
5.3.1 Datasets
5.3.2 Detection of Fake Account
5.3.3 Suggested Framework
5.3.3.1 Pre-Processing
5.3.3.1.1 Tokenization
5.3.3.1.2 Stop Word Removal
5.3.3.1.3 Stemming and Lemmatization
5.3.3.2 Principal Component Analysis (PCA)
5.3.3.3 Learning Algorithms
5.3.3.4 Feature or Attribute Selection
5.4 Result Analysis
5.4.1 Cross-Validation
5.4.2 Analysis of Metrics
5.4.3 Performance Evaluation of Proposed Model
5.4.4 Performance Analysis of Classifiers
5.5 Conclusion
References
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
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. 7.4.1 Drones with Human Intervention
7.4.2 Drones without Human Intervention
7.4.3 Working Model
7.5 Experimental Results
7.6 Conclusion
References
8. Blockchain and Big Data: Supportive Aid for Daily Life
8.1 Introduction
8.1.1 Steps of Blockchain Technology Works
8.1.2 Blockchain Private
8.1.3 Blockchain Security
8.2 Blockchain vs. Bitcoin
8.2.1 Blockchain Applications
8.2.2 Next Level of Blockchain
8.2.3 Blockchain Architecture’s Basic Components
8.2.4 Blockchain Architecture
8.2.5 Blockchain Characteristics
8.3 Blockchain Components
8.3.1 Cryptography
8.3.2 Distributed Ledger
8.3.3 Smart Contracts
8.3.4 Consensus Mechanism
8.3.4.1 Proof of Work (PoW)
8.3.4.2 Proof of Stake (PoS)
8.4 Categories of Blockchain
8.4.1 Public Blockchain
8.4.2 Private Blockchain
8.4.3 Consortium Blockchain
8.4.4 Hybrid Blockchain
8.5 Blockchain Applications
8.5.1 Financial Application. 8.5.1.1 Bitcoin
8.5.1.2 Ripple
8.5.2 Non-Financial Applications. 8.5.2.1 Ethereum
8.5.2.2 Hyperledger
8.6 Blockchain in Different Sectors
8.7 Blockchain Implementation Challenges
8.8 Revolutionized Challenges in Industries
8.9 Conclusion
References
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
9.6 Prediction in Mammals
9.7 Prediction in Weather
9.8 Discussion
9.9 Proposed Framework
9.9.1 Problem Analysis
9.9.2 Preprocessing
9.9.3 Algorithm Selection
9.9.4 Training the Machine
9.9.5 Model Evaluation and Prediction
9.9.6 Expert Suggestion
9.9.7 Parameter Tuning
9.10 Implementation
9.10.1 Farmers and Sellers
9.10.2 Products
9.10.3 Price Prediction
9.11 Conclusion
References
10. Dog Breed Classification Using CNN
10.1 Introduction
10.2 Related Work
10.3 Methodology
10.4 Results and Discussions. 10.4.1 Training
10.4.2 Testing
10.5 Conclusions
References
11. Methodology for Load Balancing in Multi-Agent System Using SPE Approach
11.1 Introduction
11.2 Methodology for Load Balancing
11.3 Results and Discussion. 11.3.1 Proposed Algorithm in JADE Tool
11.3.1.1 Sensitivity Analysis
11.3.2 Proposed Algorithm in NetLogo
11.4 Algorithms Used
11.5 Results and Discussion
11.6 Summary
References
12. The Impact of Cyber Culture on New Media Consumers
12.1 Introduction
12.2 The Rise of the Term of Cyber Culture
12.2.1 Cyber Culture in the 21st Century
12.2.1.1 Socio-Economic Results of Cyber Culture
12.2.1.2 Psychological Outcomes of Cyber Culture
12.2.1.3 Political Outcomes of Cyber Culture
12.3 The Birth and Outcome of New Media Applications
12.3.1 New Media Environments
12.3.1.1 Social Sharing Networks
12.3.1.2 Network Logs (Blog, Weblog)
12.3.1.3 Computer Games
12.3.1.4 Digital News Sites and Mobile Media
12.3.1.5 Multimedia Media
12.3.1.6 What Affects the New Media Consumers’ Tendencies?
12.3.1.6.1 Formations Determining New Consumer Trends
12.4 Result
References
About the Editors
Index
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