Foreword -- Preface -- 0.1 Book Organization -- Acknowledgments -- Acronyms -- -- 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 Towards 6G -- 1.4 6G Requirements/Vision -- 1.4.1 6G Development Timeline -- -- 2 Key 6G Technologies -- 2.1 Radio Network Technologies -- 2.1.1 Beyond sub 6 GHz towards THz Communication -- 2.1.2 Non-Terrestrial Networks Towards 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 -- -- 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 -- -- 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 Ultra Saturated Devices -- 4.3 Addressing Device Security in 6G -- -- 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 -- 5.3.3 Risks related to the Technology -- 5.3.4 Global Risks -- 5.4 Security Benefits of Open RAN -- 5.4.1 Open RAN specific -- 5.4.2 V-RAN specific -- 5.4.3 5G networks Related -- 5.5 Conclusion -- -- 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 -- -- 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 -- -- 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 -- -- 9 Metaverse Security in 6G -- 9.1 Overview of Metaverse -- 9.2 What is Metarverse? -- 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 -- -- 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 -- 10.2.2 Integrated Communication, Control, Computation, and Sensing -- 10.2.3 Intelligence Everywhere -- 10.2.4 Energy Harvesting and Transfer -- 10.3 Security in Society 5.0 -- -- 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 -- -- 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 Grid 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 pro-sumers and consumers -- 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 -- -- 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 Behaviour -- 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 -- 13.5.8 Getting explanations of AI actions for privacy requirements -- -- 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 -- 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 -- 14.3 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 -- 14.3.10 Privacy by design and Privacy by default -- 14.3.11 Regulation of Government, Industry, and Consumer -- 14.3.12 Other solutions -- -- 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 -- -- 16 Distributed Ledger Technologies (DLTs) and Blockchain -- 16.1 Introduction -- 16.2 What is DLT -- 16.3 What is Blockchain -- 16.3.1 Types of Blockchain -- 16.4 What is Smart Contracts -- 16.5 Salient Features of Blockchain -- 16.6 Key Security Challenges which Blockchain can Solve -- 16.6.1 Role of Blockchain -- 16.7 Key Privacy Challenges which Blockchain can Solve -- 16.7.1 Key Challenges -- 16.7.2 Role of Blockchain -- 16.8 Threat Landscape of Blockchain -- 16.9 Possible Solutions to secure 6G Blockchains -- -- 17 AI/ML for 6G Security -- 17.1 Overview of 6G intelligence -- 17.2 AI for 6G Security -- 17.3 Use of AI to Identify/Mitigate Pre-6G Security Issues -- 17.4 AI to Mitigate Security Issues of 6G Architecture -- 17.5 AI to Mitigate Security Issues of 6G Technologies -- 17.6 Security Issues in AI -- 17.7 Using AI to Attack 6G -- -- 18 Role of Explainable AI in 6G Security -- 18.1 What is Explainable AI (XAI) -- 18.1.1 Terminologies of XAI -- 18.1.2 Taxonomy of XAI -- 18.1.3 XAI Methods -- 18.2 Use of XAI for 6G -- 18.3 XAI for 6G Security -- 18.3.1 XAI for 6G Devices and IoT Security -- 18.3.2 XAI for 6G RAN -- 18.3.3 XAI for 6G Edge -- 18.3.4 XAI for 6G Core and Backhual -- 18.3.5 XAI for 6G Network Automation -- 18.4 New Security issues of XAI -- 18.4.1 Increased vulnerability to adversarial ML attacks -- 18.4.2 Difficulty to design secure ML applications -- 18.4.3 New attack vector

and target -- -- 19 Zero touch network and Service Management (ZSM) Security -- 19.1 Introduction -- 19.1.1 Need of Zero-Touch Network and Service Management -- 19.1.2 Importance of ZSM for 5G and Beyond -- 19.2 ZSM Reference Architecture -- 19.2.1 Components -- 19.3 Security Aspects -- 19.3.1 ML/AI-based Attacks -- 19.3.2 Open API Security Threats -- 19.3.3 Intent-based Security Threats -- 19.3.4 Automated Closed-Loop Network based Security Threats -- 19.3.5 Threats due to Programmable Network Technologies -- 19.3.6 Possible Threats on ZSM Framework Architecture -- -- 20 Physical Layer Security -- 20.1 Introduction -- 20.2 Physical layer security background -- 20.2.1 PLS fundamentals -- 20.2.2 PLS Approaches -- 20.3 The prospect of PLS in 6G -- 20.3.1 Application scenarios of PLS in 6G -- 20.3.2 6G technologies and PLS -- 20.3.3 Cell-free mMIMO -- 20.3.4 Visible Light Communication (VLC) -- 20.3.5 Terahertz Communication -- 20.3.6 Joint Communications and Sensing -- -- 21 Quantum Security and Post-Quantum Cryptography -- 21.1 Overview of 6G and Quantum Computing -- 21.2 Quantum Computing -- 21.3 Quantum Security -- 21.3.1 Quantum Key Distribution -- 21.3.2 Information-theoretic security -- 21.4 Post-Quantum Cryptography -- 21.4.1 Background -- 21.4.2 PQC methods -- 21.4.3 PQC standardisa ...