| Description |
1 online resource (387 pages) |
| Contents |
Cover -- Title Page -- Copyright -- Contents -- Acronyms -- About the Authors -- Foreword -- Preface -- Acknowledgments -- Part I Introduction -- Chapter 1 Evolution of Mobile Networks -- 1.1 Introduction -- 1.2 6G Mobile Communication Networks -- 1.2.1 6G as Envisioned Today -- 1.3 Key Driving Trends Toward 6G -- 1.4 6G Requirements/Vision -- 1.4.1 6G Development Timeline -- References -- Chapter 2 Key 6G Technologies -- 2.1 Radio Network Technologies -- 2.1.1 Beyond Sub 6 GHz Toward THz Communication -- 2.1.2 Nonterrestrial Networks Toward 3D Networking -- 2.2 AI/ML/FL -- 2.3 DLT/Blockchain -- 2.4 Edge Computing -- 2.5 Quantum Communication -- 2.6 Other New Technologies -- 2.6.1 Visible Light Communications -- 2.6.2 Large Intelligent Surfaces -- 2.6.3 Compressive Sensing -- 2.6.4 Zero-Touch Network and Service Management -- 2.6.5 Efficient Energy Transfer and Harvesting -- References -- Chapter 3 6G Security Vision -- 3.1 Overview of 6G Security Vision -- 3.1.1 New 6G Requirements -- 3.2 6G Security Vision and KPIs -- 3.2.1 Security Threat Landscape for 6G Architecture -- References -- Part II Security in 6G Architecture -- Chapter 4 6G Device Security -- 4.1 Overview of 6G Devices -- 4.2 6G Device Security Challenges -- 4.2.1 Growth of Data Collection -- 4.2.2 Cloud Connectivity -- 4.2.3 Device Capacity -- 4.2.4 Ultrasaturated Devices -- 4.3 Addressing Device Security in 6G -- References -- Chapter 5 Open RAN and RAN-Core Convergence -- 5.1 Introduction -- 5.2 Open RAN Architecture -- 5.3 Threat Vectors and Security Risks Associated with Open RAN -- 5.3.1 Threat Taxonomy -- 5.3.2 Risks Related to the Process -- 5.3.2.1 Prerequisites -- 5.3.2.2 General Regulations -- 5.3.2.3 Privacy -- 5.3.2.4 People -- 5.3.3 Risks Related to the Technology -- 5.3.3.1 Open Source Software -- 5.3.3.2 Radio/Open Interface -- 5.3.3.3 Intelligence |
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5.3.3.4 Virtualization -- 5.3.4 Global Risks -- 5.4 Security Benefits of Open RAN -- 5.4.1 Open RAN specific -- 5.4.1.1 Full Visibility -- 5.4.1.2 Selection of Best Modules -- 5.4.1.3 Diversity -- 5.4.1.4 Modularity -- 5.4.1.5 Enforcement of Security Controls -- 5.4.1.6 Open Interfaces -- 5.4.1.7 Open Source Software -- 5.4.1.8 Automation -- 5.4.1.9 Open Standards -- 5.4.2 V-RAN Specific -- 5.4.2.1 Isolation -- 5.4.2.2 Increased Scalability for Security Management -- 5.4.2.3 Control Trust -- 5.4.2.4 Less Dependency Between hardware [HW] and SW -- 5.4.2.5 Private Network -- 5.4.2.6 More Secure Storage of Key Material -- 5.4.3 5G Networks Related -- 5.4.3.1 Edge Oriented -- 5.4.3.2 Simpler Security Model -- 5.5 Conclusion -- References -- Chapter 6 Edge Intelligence* -- 6.1 Overview of Edge Intelligence -- 6.2 State-of-the-Art Related to 5G -- 6.2.1 Denial of Service (DOS) -- 6.2.2 Man-in-the-Middle (MitM) Attack -- 6.2.3 Privacy Leakage -- 6.3 State-of-the-Art Related to 6G -- 6.3.1 Training Dataset Manipulation -- 6.3.2 Interception of Private Information -- 6.3.3 Attacks on Learning Agents -- 6.4 Edge Computing Security in Autonomous Driving -- 6.5 Future and Challenges -- References -- Chapter 7 Specialized 6G Networks and Network Slicing -- 7.1 Overview of 6G Specialized Networks -- 7.2 Network Slicing in 6G -- 7.2.1 Trust in Network Slicing -- 7.2.2 Privacy Aspects in Network Slicing -- 7.2.3 Solutions for Privacy and Trust in NS -- References -- Chapter 8 Industry 5.0* -- 8.1 Introduction -- 8.2 Motivations Behind the Evolution of Industry 5.0 -- 8.3 Key Features of Industry 5.0 -- 8.3.1 Smart Additive Manufacturing -- 8.3.2 Predictive Maintenance -- 8.3.3 Hyper Customization -- 8.3.4 Cyber-Physical Cognitive Systems -- 8.4 Security of Industry 5.0 -- 8.4.1 Security Issues of Industry 5.0 -- 8.5 Privacy of Industry 5.0 -- References |
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Part III Security in 6G Use Cases -- Chapter 9 Metaverse Security in 6G -- 9.1 Overview of Metaverse -- 9.2 What Is Metaverse? -- 9.2.1 Metaverse Architecture -- 9.2.2 Key Characteristics of Metaverse -- 9.2.3 Role of 6G in Metaverse -- 9.3 Security Threats in Metaverse -- 9.4 Countermeasures for Metaverse Security Threats -- 9.5 New Trends in Metaverse Security -- Chapter 10 Society 5.0 and Security* -- 10.1 Industry and Society Evolution -- 10.1.1 Industry 4.0 -- 10.1.2 Society 5.0 -- 10.2 Technical Enablers and Challenges -- 10.2.1 Dependable Wireless Connectivity -- 10.2.1.1 New Spectrum and Extreme Massive MIMO -- 10.2.1.2 In-X Subnetworks -- 10.2.1.3 Semantic Communication -- 10.2.2 Integrated Communication, Control, Computation, and Sensing -- 10.2.2.1 CoCoCo -- 10.2.2.2 JCAS -- 10.2.3 Intelligence Everywhere -- 10.2.4 Energy Harvesting and Transfer -- 10.2.4.1 Energy Harvesting -- 10.2.4.2 Wireless Power Transfer -- 10.3 Security in Society 5.0 -- References -- Chapter 11 6G-Enabled Internet of Vehicles -- 11.1 Overview of V2X Communication and IoV -- 11.2 IoV Use Cases -- 11.3 Connected Autonomous Vehicles (CAV) -- 11.4 Unmanned Aerial Vehicles in Future IoV -- 11.5 Security Landscape for IoV -- 11.5.1 Security Threats -- 11.5.2 Security Requirements -- References -- Chapter 12 Smart Grid 2.0 Security* -- 12.1 Introduction -- 12.2 Evolution of SG 2.0 -- 12.3 Smart Grid 2.0 -- 12.3.1 Comparison of Smart Grids 1.0 and 2.0 -- 12.4 Role of 6G in SG 2.0 -- 12.5 Security Challenges of SG 2.0 -- 12.5.1 Physical Attacks -- 12.5.2 Software Attacks -- 12.5.3 Network Attacks -- 12.5.4 Attacks to the Controller -- 12.5.5 Encryption-Related Attacks -- 12.5.6 AI- and ML-Related Attacks -- 12.5.7 Stability and Reliability of Power Supply -- 12.5.8 Secure and Transparent Energy Trading Among Prosumers and Consumers |
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12.5.9 Efficient and Reliable Communication Topology for Information and Control Signal Exchange -- 12.6 Privacy Issues of SG2.0 -- 12.7 Trust Management -- 12.8 Security and Privacy Standardization on SG 2.0 -- References -- Part IV Privacy in 6G Vision -- Chapter 13 6G Privacy* -- 13.1 Introduction -- 13.2 Privacy Taxonomy -- 13.3 Privacy in Actions on Data -- 13.3.1 Information Collection -- 13.3.2 Information Processing -- 13.3.3 Information Dissemination -- 13.3.4 Invasion -- 13.4 Privacy Types for 6G -- 13.4.1 Data -- 13.4.2 Actions and Personal Behavior -- 13.4.3 Image and Video -- 13.4.4 Communication -- 13.4.5 Location -- 13.5 6G Privacy Goals -- 13.5.1 Ensure of Privacy-Protected Big Data -- 13.5.2 Privacy Guarantees for Edge Networks -- 13.5.3 Achieving Balance Between Privacy and Performance of Services -- 13.5.4 Standardization of Privacy in Technologies, and Applications -- 13.5.5 Balance the Interests in Privacy Protection in Global Context -- 13.5.6 Achieving Proper Utilization of Interoperability and Data Portability -- 13.5.7 Quantifying Privacy and Privacy Violations -- 13.5.7.1 Achieving Privacy Protected AI-Driven Automated Network Management Operations -- 13.5.8 Getting Explanations of AI Actions for Privacy Requirements -- References -- Chapter 14 6G Privacy Challenges and Possible Solution* -- 14.1 Introduction -- 14.2 6G Privacy Challenges and Issues -- 14.2.1 Advanced 6G Applications with New Privacy Requirements -- 14.2.2 Privacy Preservation Limitations for B5G/6G Control and Orchestration Layer -- 14.2.3 Privacy Attacks on AI Models -- 14.2.4 Privacy Requirements in Cloud Computing and Storage Environments -- 14.2.5 Privacy Issues in Edge Computing and Edge AI -- 14.2.6 Cost on Privacy Enhancements -- 14.2.7 Limited Availability of Explainable AI (XAI) Techniques -- 14.2.8 Ambiguity in Responsibility of Data Ownership |
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14.2.9 Data Communication Confidentiality Issues -- 14.2.10 Private Data Access Limitations -- 14.2.11 Privacy Differences Based on Location -- 14.2.12 Lack of Understanding of Privacy Rights and Threats in General Public -- 14.2.13 Difficulty in Defining Levels and Indicators for Privacy -- 14.2.13.1 Proper Evaluation of Potential Privacy Leakages from Non-personal Data -- 14.3 Privacy Solutions for 6G -- 14.3.1 Privacy-Preserving Decentralized AI -- 14.3.2 Edge AI -- 14.3.3 Intelligent Management with Privacy -- 14.3.4 XAI for Privacy -- 14.3.5 Privacy Measures for Personally Identifiable Information -- 14.3.6 Blockchain-Based Solutions -- 14.3.7 Lightweight and Quantum Resistant Encryption Mechanisms -- 14.3.8 Homomorphic Encryption -- 14.3.9 Privacy-Preserving Data Publishing Techniques -- 14.3.9.1 Syntactic Anonymization -- 14.3.9.2 Differential Privacy -- 14.3.10 Privacy by Design and Privacy by Default -- 14.3.11 Regulation of Government, Industry, and Consumer -- 14.3.12 Other Solutions -- 14.3.12.1 Location Privacy Considerations -- 14.3.12.2 Personalized Privacy -- 14.3.12.3 Fog Computing Privacy -- References -- Chapter 15 Legal Aspects and Security Standardization -- 15.1 Legal -- 15.2 Security Standardization -- 15.2.1 ETSI -- 15.2.2 ITU-T -- 15.2.3 3GPP -- 15.2.4 NIST -- 15.2.5 IETF -- 15.2.6 5G PPP -- 15.2.7 NGMN -- 15.2.8 IEEE -- References -- Part V Security in 6G Technologies -- Chapter 16 Distributed Ledger Technologies (DLTs) and Blockchain* -- 16.1 Introduction -- 16.2 What Is Blockchain -- 16.2.1 Types of Blockchain -- 16.3 What Is Smart Contracts -- 16.4 Salient Features of Blockchain -- 16.5 Key Security Challenges Which Blockchain Can Solve -- 16.5.1 Role of Blockchain -- 16.6 Key Privacy Challenges Which Blockchain Can Solve -- 16.6.1 Key Challenges -- 16.6.2 Role of Blockchain -- 16.7 Threat Landscape of Blockchain |
| Notes |
16.8 Possible Solutions to Secure 6G Blockchains |
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Description based on publisher supplied metadata and other sources |
| Form |
Electronic book
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| Author |
Liyanage, Madhusanka
|
| ISBN |
1119875439 |
|
9781119875437 |
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1119875412 |
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9781119875413 |
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