Details

Security and Privacy Vision in 6G

A Comprehensive Guide
1. Aufl.

von: Pawani Porambage, Madhusanka Liyanage
103,99 €
Verlag:	Wiley
Format:	PDF
Veröffentl.:	19.07.2023
ISBN/EAN:	9781119875413
Sprache:	englisch
Anzahl Seiten:	384

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Titelbeschreibung

SECURITY AND PRIVACY VISION IN 6G Prepare for the future of mobile communication with this comprehensive study 6G is the next frontier in mobile communication, with development of 6G standards slated to begin as early as 2026. As telecommunications networks become faster and more intelligent, security and privacy concerns are critical. In an increasingly connected world, there is an urgent need for user data to be safeguarded and system security enhanced against a new generation of threats. Security and Privacy Vision in 6G provides a comprehensive survey of these threats and the emerging techniques for safeguarding against them. It includes mechanisms for prediction, detection, mitigation, and prevention, such that threats to privacy and security can be forestalled at any stage. Fully engaged with proposed 6G architectures, it is an essential resource for mobile communications professionals looking for a head start on the technology of the future. Security and Privacy Vision in 6G readers will also find: <ul><li>Detailed coverage of topics including edge intelligence and cloudification, industrial automation, collaborative robots, and more</li> <li>Treatment balancing the practical and the theoretical</li> <li>An editorial team with decades of international network technology experience in both industry and academia</li></ul> Security and Privacy Vision in 6G is a vital reference for network security professionals and for postgraduate and advanced undergraduate students in mobile communications and network security-related fields.

Inhaltsverzeichnis

Acronyms xvii About the Authors xix Foreword xx Preface xxii Acknowledgments xxv Part I Introduction 1 1 Evolution of Mobile Networks 3 1.1 Introduction 3 1.2 6G Mobile Communication Networks 4 1.2.1 6G as Envisioned Today 6 1.3 Key Driving Trends Toward 6G 6 1.4 6G Requirements/Vision 8 1.4.1 6G Development Timeline 10 References 12 2 Key 6G Technologies 15 2.1 Radio Network Technologies 15 2.1.1 Beyond Sub 6 GHz Toward THz Communication 15 2.1.2 Nonterrestrial Networks Toward 3D Networking 17 2.2 AI/ML/FL 19 2.3 DLT/Blockchain 22 2.4 Edge Computing 24 2.5 Quantum Communication 27 2.6 Other New Technologies 29 2.6.1 Visible Light Communications 29 2.6.2 Large Intelligent Surfaces 30 2.6.3 Compressive Sensing 30 2.6.4 Zero-Touch Network and Service Management 31 2.6.5 Efficient Energy Transfer and Harvesting 32 References 33 3 6G Security Vision 43 3.1 Overview of 6G Security Vision 43 3.1.1 New 6G Requirements 43 3.2 6G Security Vision and KPIs 45 3.2.1 Security Threat Landscape for 6G Architecture 47 References 48 Part II Security in 6G Architecture 51 4 6G Device Security 53 4.1 Overview of 6G Devices 53 4.2 6G Device Security Challenges 55 4.2.1 Growth of Data Collection 55 4.2.2 Cloud Connectivity 56 4.2.3 Device Capacity 56 4.2.4 Ultrasaturated Devices 56 4.3 Addressing Device Security in 6G 57 References 58 5 Open RAN and RAN-Core Convergence 59 5.1 Introduction 59 5.2 Open RAN Architecture 62 5.3 Threat Vectors and Security Risks Associated with Open RAN 65 5.3.1 Threat Taxonomy 65 5.3.2 Risks Related to the Process 65 5.3.2.1 Prerequisites 65 5.3.2.2 General Regulations 67 5.3.2.3 Privacy 67 5.3.2.4 People 68 5.3.3 Risks Related to the Technology 68 5.3.3.1 Open Source Software 68 5.3.3.2 Radio/Open Interface 70 5.3.3.3 Intelligence 71 5.3.3.4 Virtualization 73 5.3.4 Global Risks 76 5.4 Security Benefits of Open RAN 77 5.4.1 Open RAN specific 77 5.4.1.1 Full Visibility 77 5.4.1.2 Selection of Best Modules 78 5.4.1.3 Diversity 78 5.4.1.4 Modularity 78 5.4.1.5 Enforcement of Security Controls 79 5.4.1.6 Open Interfaces 79 5.4.1.7 Open Source Software 79 5.4.1.8 Automation 79 5.4.1.9 Open Standards 80 5.4.2 V-RAN Specific 80 5.4.2.1 Isolation 80 5.4.2.2 Increased Scalability for Security Management 80 5.4.2.3 Control Trust 80 5.4.2.4 Less Dependency Between hardware [HW] and SW 80 5.4.2.5 Private Network 81 5.4.2.6 More Secure Storage of Key Material 81 5.4.3 5G Networks Related 81 5.4.3.1 Edge Oriented 81 5.4.3.2 Simpler Security Model 81 5.5 Conclusion 82 References 82 6 Edge Intelligence 89 6.1 Overview of Edge Intelligence 89 6.2 State-of-the-Art Related to 5G 92 6.2.1 Denial of Service (DOS) 92 6.2.2 Man-in-the-Middle (MitM) Attack 92 6.2.3 Privacy Leakage 93 6.3 State-of-the-Art Related to 6G 94 6.3.1 Training Dataset Manipulation 94 6.3.2 Interception of Private Information 95 6.3.3 Attacks on Learning Agents 95 6.4 Edge Computing Security in Autonomous Driving 95 6.5 Future and Challenges 96 References 97 7 Specialized 6G Networks and Network Slicing 103 7.1 Overview of 6G Specialized Networks 103 7.2 Network Slicing in 6G 104 7.2.1 Trust in Network Slicing 105 7.2.2 Privacy Aspects in Network Slicing 106 7.2.3 Solutions for Privacy and Trust in NS 107 References 107 8 Industry 5.0 109 8.1 Introduction 109 8.2 Motivations Behind the Evolution of Industry 5.0 111 8.3 Key Features of Industry 5.0 112 8.3.1 Smart Additive Manufacturing 112 8.3.2 Predictive Maintenance 113 8.3.3 Hyper Customization 113 8.3.4 Cyber-Physical Cognitive Systems 114 8.4 Security of Industry 5.0 115 8.4.1 Security Issues of Industry 5.0 116 8.5 Privacy of Industry 5.0 118 References 120 Part III Security in 6G Use Cases 125 9 Metaverse Security in 6G 127 9.1 Overview of Metaverse 127 9.2 What Is Metaverse? 128 9.2.1 Metaverse Architecture 129 9.2.2 Key Characteristics of Metaverse 130 9.2.3 Role of 6G in Metaverse 131 9.3 Security Threats in Metaverse 132 9.4 Countermeasures for Metaverse Security Threats 133 9.5 New Trends in Metaverse Security 134 10 Society 5.0 and Security 135 10.1 Industry and Society Evolution 135 10.1.1 Industry 4.0 136 10.1.2 Society 5.0 140 10.2 Technical Enablers and Challenges 144 10.2.1 Dependable Wireless Connectivity 144 10.2.1.1 New Spectrum and Extreme Massive MIMO 144 10.2.1.2 In-X Subnetworks 146 10.2.1.3 Semantic Communication 146 10.2.2 Integrated Communication, Control, Computation, and Sensing 147 10.2.2.1 CoCoCo 147 10.2.2.2 JCAS 148 10.2.3 Intelligence Everywhere 149 10.2.4 Energy Harvesting and Transfer 149 10.2.4.1 Energy Harvesting 149 10.2.4.2 Wireless Power Transfer 150 10.3 Security in Society 5.0 151 References 152 11 6G-Enabled Internet of Vehicles 157 11.1 Overview of V2X Communication and IoV 157 11.2 IoV Use Cases 159 11.3 Connected Autonomous Vehicles (CAV) 160 11.4 Unmanned Aerial Vehicles in Future IoV 161 11.5 Security Landscape for IoV 161 11.5.1 Security Threats 162 11.5.2 Security Requirements 163 References 164 12 Smart Grid 2.0 Security 167 12.1 Introduction 167 12.2 Evolution of SG 2.0 168 12.3 Smart Grid 2.0 169 12.3.1 Comparison of Smart Grids 1.0 and 2.0 170 12.4 Role of 6G in SG 2.0 171 12.5 Security Challenges of SG 2.0 172 12.5.1 Physical Attacks 172 12.5.2 Software Attacks 174 12.5.3 Network Attacks 174 12.5.4 Attacks to the Controller 175 12.5.5 Encryption-Related Attacks 176 12.5.6 AI- and ML-Related Attacks 176 12.5.7 Stability and Reliability of Power Supply 177 12.5.8 Secure and Transparent Energy Trading Among Prosumers and Consumers 178 12.5.9 Efficient and Reliable Communication Topology for Information and Control Signal Exchange 179 12.6 Privacy Issues of SG2. 0 179 12.7 Trust Management 180 12.8 Security and Privacy Standardization on SG 2.0 181 References 182 Part IV Privacy in 6G Vision 185 13 6G Privacy 187 13.1 Introduction 187 13.2 Privacy Taxonomy 188 13.3 Privacy in Actions on Data 189 13.3.1 Information Collection 189 13.3.2 Information Processing 190 13.3.3 Information Dissemination 191 13.3.4 Invasion 191 13.4 Privacy Types for 6G 191 13.4.1 Data 191 13.4.2 Actions and Personal Behavior 192 13.4.3 Image and Video 192 13.4.4 Communication 193 13.4.5 Location 193 13.5 6G Privacy Goals 194 13.5.1 Ensure of Privacy-Protected Big Data 194 13.5.2 Privacy Guarantees for Edge Networks 194 13.5.3 Achieving Balance Between Privacy and Performance of Services 195 13.5.4 Standardization of Privacy in Technologies, and Applications 195 13.5.5 Balance the Interests in Privacy Protection in Global Context 196 13.5.6 Achieving Proper Utilization of Interoperability and Data Portability 196 13.5.7 Quantifying Privacy and Privacy Violations 197 13.5.7.1 Achieving Privacy Protected AI-Driven Automated Network Management Operations 198 13.5.8 Getting Explanations of AI Actions for Privacy Requirements 198 References 198 14 6G Privacy Challenges and Possible Solution 201 14.1 Introduction 201 14.2 6G Privacy Challenges and Issues 202 14.2.1 Advanced 6G Applications with New Privacy Requirements 204 14.2.2 Privacy Preservation Limitations for B5G/6G Control and Orchestration Layer 204 14.2.3 Privacy Attacks on AI Models 205 14.2.4 Privacy Requirements in Cloud Computing and Storage Environments 206 14.2.5 Privacy Issues in Edge Computing and Edge AI 206 14.2.6 Cost on Privacy Enhancements 207 14.2.7 Limited Availability of Explainable AI (XAI) Techniques 208 14.2.8 Ambiguity in Responsibility of Data Ownership 209 14.2.9 Data Communication Confidentiality Issues 209 14.2.10 Private Data Access Limitations 210 14.2.11 Privacy Differences Based on Location 210 14.2.12 Lack of Understanding of Privacy Rights and Threats in General Public 210 14.2.13 Difficulty in Defining Levels and Indicators for Privacy 211 14.2.13.1 Proper Evaluation of Potential Privacy Leakages from Non-personal Data 211 14.3 Privacy Solutions for 6G 212 14.3.1 Privacy-Preserving Decentralized AI 212 14.3.2 Edge AI 212 14.3.3 Intelligent Management with Privacy 213 14.3.4 XAI for Privacy 213 14.3.5 Privacy Measures for Personally Identifiable Information 214 14.3.6 Blockchain-Based Solutions 215 14.3.7 Lightweight and Quantum Resistant Encryption Mechanisms 215 14.3.8 Homomorphic Encryption 216 14.3.9 Privacy-Preserving Data Publishing Techniques 217 14.3.9.1 Syntactic Anonymization 218 14.3.9.2 Differential Privacy 218 14.3.10 Privacy by Design and Privacy by Default 219 14.3.11 Regulation of Government, Industry, and Consumer 220 14.3.12 Other Solutions 221 14.3.12.1 Location Privacy Considerations 221 14.3.12.2 Personalized Privacy 222 14.3.12.3 Fog Computing Privacy 222 References 222 15 Legal Aspects and Security Standardization 227 15.1 Legal 227 15.2 Security Standardization 229 15.2.1 ETSI 229 15.2.2 ITU-T 230 15.2.3 3GPP 230 15.2.4 NIST 231 15.2.5 IETF 231 15.2.6 5G PPP 231 15.2.7 NGMN 231 15.2.8 IEEE 232 References 232 Part V Security in 6G Technologies 235 16 Distributed Ledger Technologies (DLTs) and Blockchain 237 16.1 Introduction 237 16.2 What Is Blockchain 238 16.2.1 Types of Blockchain 239 16.3 What Is Smart Contracts 240 16.4 Salient Features of Blockchain 240 16.5 Key Security Challenges Which Blockchain Can Solve 242 16.5.1 Role of Blockchain 242 16.6 Key Privacy Challenges Which Blockchain Can Solve 244 16.6.1 Key Challenges 244 16.6.2 Role of Blockchain 245 16.7 Threat Landscape of Blockchain 246 16.8 Possible Solutions to Secure 6G Blockchains 248 References 249 17 AI/ML for 6G Security 257 17.1 Overview of 6G Intelligence 257 17.2 AI for 6G Security 259 17.3 Use of AI to Identify/Mitigate Pre-6G Security Issues 259 17.4 AI to Mitigate Security Issues of 6G Architecture 261 17.5 AI to Mitigate Security Issues of 6G Technologies 262 17.6 Security Issues in AI 263 17.7 Using AI to Attack 6G 263 References 264 18 Role of Explainable AI in 6G Security 267 18.1 What Is Explainable AI (XAI) 267 18.1.1 Terminologies of XAI 268 18.1.2 Taxonomy of XAI 269 18.1.3 XAI Methods 270 18.2 Use of XAI for 6G 273 18.3 XAI for 6G Security 275 18.3.1 XAI for 6G Devices and IoT Security 277 18.3.2 XAI for 6G RAN 277 18.3.3 XAI for 6G Edge 278 18.3.4 XAI for 6G Core and Backhaul 278 18.3.5 XAI for 6G Network Automation 279 18.4 New Security Issues of XAI 280 18.4.1 Increased Vulnerability to Adversarial ML Attacks 280 18.4.2 Difficulty to Design Secure ML Applications 281 18.4.3 New Attack Vector and Target 283 References 284 19 Zero Touch Network and Service Management (ZSM) Security 291 19.1 Introduction 291 19.1.1 Need of Zero-Touch Network and Service Management 292 19.1.2 Importance of ZSM for 5G and Beyond 292 19.2 ZSM Reference Architecture 293 19.2.1 Components 294 19.2.1.1 Management Services 294 19.2.1.2 Management Functions 295 19.2.1.3 Management Domains 295 19.2.1.4 The E2E Service Management Domain 295 19.2.1.5 Integration Fabric 295 19.2.1.6 Data Services 296 19.3 Security Aspects 296 19.3.1 ML/AI-Based Attacks 296 19.3.1.1 White-Box Attack 297 19.3.1.2 Black-Box Attack 297 19.3.2 Open API Security Threats 297 19.3.2.1 Parameter Attacks 298 19.3.3 Intent-Based Security Threats 298 19.3.3.1 Data Exposure 298 19.3.3.2 Tampering 299 19.3.4 Automated Closed-Loop Network-Based Security Threats 299 19.3.4.1 MITM Attack 299 19.3.4.2 Deception Attacks 299 19.3.5 Threats Due to Programmable Network Technologies 299 19.3.6 Possible Threats on ZSM Framework Architecture 300 References 300 20 Physical Layer Security 305 20.1 Introduction 305 20.2 Physical Layer Security Background 306 20.2.1 PLS Fundamentals 306 20.2.2 PLS Approaches 307 20.2.2.1 Confidentiality (Edgar) 307 20.2.2.2 Physical Layer Authentication 308 20.2.2.3 Secret Key Generation 309 20.3 The Prospect of PLS in 6G 310 20.3.1 Application Scenarios of PLS in 6G 311 20.3.2 6G Technologies and PLS 312 20.3.2.1 IRS 312 20.3.2.2 Unmanned Aerial Vehicles 313 20.3.3 Cell-Free mMIMO 315 20.3.4 Visible Light Communication (VLC) 316 20.3.5 Terahertz Communication 317 20.3.6 Joint Communications and Sensing 318 References 319 21 Quantum Security and Postquantum Cryptography 327 21.1 Overview of 6G and Quantum Computing 327 21.2 Quantum Computing 328 21.3 Quantum Security 329 21.3.1 Quantum Key Distribution 330 21.3.2 Information-Theoretic Security 331 21.4 Postquantum Cryptography 332 21.4.1 Background 332 21.4.2 PQC Methods 333 21.4.3 PQC Standardization 335 21.4.4 Challenges with PQC 335 21.4.5 Future Directions of PQC 336 21.4.6 6G and PQC 337 References 337 Part VI Concluding Remarks 341 22 Concluding Remarks 343 Index 345

Autorenportrait

Pawani Porambage, D.Sc is Senior Scientist at the VTT Technical Research Centre of Finland and a Docent at University of Oulu. She has nearly a decade of network security experience and has authored or co-authored more than sixty publications. Madhusanka Liyanage, D.Sc is Assistant Professor in the School of Computer Science, University College Dublin, Ireland. He received the 2020 IEEE ComSoc Outstanding Young Researcher Award and has published widely on 6G, network security, and related subjects.

Back cover copy

Prepare for the future of mobile communication with this comprehensive study 6G is the next frontier in mobile communication, with development of 6G standards slated to begin as early as 2026. As telecommunications networks become faster and more intelligent, security and privacy concerns are critical. In an increasingly connected world, there is an urgent need for user data to be safeguarded and system security enhanced against a new generation of threats. Security and Privacy Vision in 6G provides a comprehensive survey of these threats and the emerging techniques for safeguarding against them. It includes mechanisms for prediction, detection, mitigation, and prevention, such that threats to privacy and security can be forestalled at any stage. Fully engaged with proposed 6G architectures, it is an essential resource for mobile communications professionals looking for a head start on the technology of the future. Security and Privacy Vision in 6G readers will also find: <ul><li>Detailed coverage of topics including edge intelligence and cloudification, industrial automation, collaborative robots, and more</li> <li>Treatment balancing the practical and the theoretical</li> <li>An editorial team with decades of international network technology experience in both industry and academia</li></ul> Security and Privacy Vision in 6G is a vital reference for network security professionals and for postgraduate and advanced undergraduate students in mobile communications and network security-related fields.