دانلود کتاب Industrial IoT: Challenges, Design Principles, Applications, and Security

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Foreword Preface Acknowledgements About the Editor Contents Contributors Acronyms Part I Preliminaries, Design Principles and Challenges 1 Industrial Networks and IIoT: Now and Future Trends 1.1 Introduction 1.2 Challenges in Industrial Networks 1.2.1 Wireless Coexistence 1.2.2 Latency 1.2.3 Interoperability 1.2.4 Sensor Data Streaming 1.2.5 Safety 1.2.6 Security and Privacy 1.2.6.1 Intrusion Detection 1.2.6.2 Intrusion Prevention 1.2.6.3 Runtime Security Monitoring 1.3 Future Trends in Industrial Networks 1.3.1 Industry 4.0 1.3.2 Industrial Site Indoor and Outdoor Lighting 1.3.3 Smart Grid Systems 1.3.4 NarrowBand IoT (NB-IoT) 1.3.5 LoRa and LoRaWAN 1.3.6 LTE (Long-Term Evolution) for Machine Type Communications 1.3.7 5G 1.3.8 Cloud, Edge, and Fog Computing 1.3.9 Data Streaming 1.3.9.1 Data Handling and Computing in Information Systems 1.3.9.2 How the Data Is Processed? 1.3.9.3 Data Streaming Tools 1.3.10 Digital Twin 1.4 Enabling Technologies for Industrial Networks 1.4.1 Recent Developments in Industrial Networks for Industry 4.0 1.4.2 Industrial Automation Protocols 1.4.2.1 CANopen 1.4.2.2 Network Management (NMT) Objects 1.4.2.3 Process Data Objects (PDO) 1.4.2.4 Service Data Objects (SDO) 1.4.2.5 Predefined Objects 1.4.2.6 Network Configuration 1.4.2.7 Application Development with CANopen 1.4.2.8 Ethernet Powerlink (EPL) 1.4.2.9 EPL Frame Format 1.4.2.10 Application Layer Profile 1.4.2.11 Application Development with EPL 1.4.2.12 Application Development for a Controlled Node 1.4.2.13 EtherCAT 1.4.3 Future Directions: Interaction with the IoT Ecosystem 1.4.3.1 Wireless and Cellular Infrastructure 1.4.3.2 Connected Cars 1.4.3.3 Smart Grid (e.g. DNP3, DLMS/COSEM Protocols) 1.4.3.4 Building Automation System (e.g. ZigBee, BACnet) 1.5 Conclusions References 2 Wireless Communication for the Industrial IoT 2.1 Introduction 2.2 Wireless Communication for IIoT Applications 2.2.1 State-of-the-Art Wireless Standards for IIoT Applications 2.2.2 Potential Wireless Solutions for IIoT 2.2.3 5G: The Next Generation of Mobile Wireless Communications 2.2.3.1 Enhanced Mobile Broadband 2.2.3.2 Massive Machine-Type Communication 2.2.3.3 Ultra-Reliable Low-Latency Communication 2.2.4 Achieving URLLC in IIoT Applications 2.3 Fundamental Limits on Information Transmission 2.3.1 Communication Channel 2.3.2 Channel Capacity 2.3.3 Finite Blocklength Bounds 2.3.4 Candidate Channel Coding Schemes for URLLC 2.4 Low-Latency Communication for Low-Complexity IIoT Receivers 2.4.1 System Model 2.4.2 Decoding Complexity 2.4.2.1 ML Decoder 2.4.2.2 OS Decoder 2.4.2.3 Computational Complexity and Decoding Duration 2.4.3 Constraints on Computational Complexity vs Power Penalty 2.4.4 Numerical Examples 2.4.4.1 Maximal Information Rate 2.4.4.2 Maximization of k 2.4.4.3 Minimization of dt 2.5 Conclusions References Part II Automation Trends and Applications 3 IoT-Driven Advances in Commercial and Industrial Building Lighting 3.1 Introduction 3.2 Motivations 3.3 Fundamental Concepts 3.3.1 Lighting Concepts 3.3.2 Biological Basics 3.3.3 IoT Concepts 3.4 Technologies and Standards 3.4.1 LED Technology 3.4.2 Lighting Controls 3.4.3 Lighting Controls Connectivity 3.4.3.1 ZigBee 3.4.3.2 Bluetooth 3.4.3.3 Wi-Fi 3.4.3.4 Li-Fi 3.4.3.5 LoRa and Sigfox 3.4.3.6 NB-IoT and LTE-M 3.4.3.7 Wired Systems 3.4.4 Building Management Systems: Possibly Supporting Lighting 3.4.5 PoE Technology 3.4.6 PoE Lighting 3.4.7 Lighting Standards 3.4.8 Connected Lighting Systems Evaluations 3.4.9 IoT Support of Lighting 3.4.10 Lighting Arrangements 3.4.11 Outdoors/Street Lighting Considerations 3.5 CLS Market Considerations 3.6 Design and Implementation Considerations 3.6.1 Technical Considerations for Building Applications 3.6.2 Design Considerations for Building Applications 3.7 Examples of Products and Element Costs 3.8 Implementation Considerations 3.9 Other Considerations 3.10 Conclusion References 4 Automation Trends in Industrial Networks and IIoT 4.1 Introduction 4.2 Industrial Revolutions: From The First Industrial Revolution to Industry 4.0 4.2.1 First Industrial Revolution: Mechanization Revolution and Steam-Powered Engine 4.2.2 Second Industrial Revolution: Electricity and Mass Production 4.2.3 Third Industrial Revolution: Digitalization and Automation 4.2.4 Industry 4.0 4.3 Enabling Technologies for New Productive Model 4.3.1 IoT and Big Data 4.3.2 Cloud Computing 4.3.3 Industrial Cybersecurity 4.3.4 Fifth Generation Mobile and Wireless Communications 4.4 Automation Network in Smart Industries 4.4.1 IT: OT Convergence in Automation Networks 4.4.1.1 Architecture Evolution 4.4.2 IT-OT Distribution 4.4.3 Reference Architecture for IIoT and Factories Digitalization 4.4.3.1 Introduction to Reference Architecture Model Industrie 4.0 4.4.4 Cybersecurity 4.5 Motivation for Industrial Network Transformation References Part III Cyber Security 5 Security in Decentralised Computing, IoT and Industrial IoT 5.1 Introduction 5.2 Cloud Computing, Decentralised Computing, IoT, IIoT 5.2.1 Decentralised Computing 5.2.2 Cloud Computing 5.2.2.1 Cloud Models 5.2.3 IoT 5.2.4 Industrial IoT (IIoT) 5.3 Security in Decentralised Computing 5.3.1 Decentralised Computing: Challenges and Security 5.3.2 Cloud Computing Security 5.3.3 IoT Security 5.4 IIoT: Security Issues and Challenges 5.5 Discussion and Open Research Problems 5.6 Concluding Remarks References 6 Intrusion Detection in Industrial Networks via Data Streaming 6.1 Introduction 6.2 Preliminaries 6.2.1 Distributed Edge-Fog-Cloud Architectures 6.2.2 A Use-Case Scenario of an Industrial Network: A Smart Grid System 6.2.3 Requirements for Protecting Industrial Networks from cyber-attacks 6.2.4 Known Cyber-Security Attacks on Industrial Networks 6.2.5 How Can We Enforce Security and Privacy for Industrial Networks? 6.3 Introduction to Data Streaming 6.3.1 From Database Management Systems to Stream Processing Engines 6.3.2 Basic Concepts and Sample Application 6.3.3 Commonly Used Stream Processing Engines 6.4 The Role of Intrusion Detection Systems (IDSs) 6.4.1 Layered Cyber-Security Life Cycle of Information Systems 6.4.2 Intrusion Detection Systems (IDSs) 6.4.3 Examples of Traditional IDS Deployed for Industrial Networks 6.4.3.1 Example #1 6.4.3.2 Example #2 6.4.3.3 Summary 6.5 IDS and Data Streaming 6.5.1 What Deployment Options Exist for the Data Analysis? 6.5.2 Leveraging Distributed and Parallel Execution of Streaming Applications in Industrial Setups 6.5.3 Correctness Guarantees Enabled by the Data Streaming Processing Paradigm 6.5.4 Applications of the Streaming Paradigm in the Context of IDSs in the Literature 6.5.5 Security Implications and Opportunities of Data Streaming 6.6 Conclusions References Index