Name: Artificial Intelligence, Cybersecurity, and QoS for Future Metaverse, Internet, and Telecom Networks
SKU: 200096911
Price: 183600 KRW
Availability: InStock
Author: Toni Janevski
ISBN: 9781394361045

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Wiley-IEEE Press 2026.11.03.

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시리즈 태그 업체 공지사항 구성 소개 특별 구성 MD 한마디 카드뉴스 상세 이미지 소개 관련 동영상 목차 미리듣기 저자 소개 관련분류 품목정보 만든이 코멘트 예스24 리뷰 책 속으로 줄거리 캐스팅 관련 자료 부가 영상 출판사 리뷰 전문가 리뷰 추천평

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소개

Apply AI to optimize future telecommunications networks and strengthen cybersecurity defenses As telecommunications infrastructure grows increasingly complex with 5G, 6G, and Metaverse applications, engineers require systematic approaches to network QoS and security. This book delivers comprehensive coverage of AI-driven innovations in spectrum management, network automation, metaverse cybersecurity, and QoS optimization for immersive digital experiences across emerging platforms and ecosystems. This reference examines machine learning algorithms for supervised and unsupervised learning applications in predictive analytics, anomaly detection, and network optimization. Coverage includes deterministic networking, Time-Sensitive Networks, and energy-efficiency considerations for 6G networks. The book integrates ITU standards and frameworks while addressing cybersecurity challenges such as securing digital identities, protecting virtual economies, and mitigating AI-driven ecosystem risks. Readers will also find: <ul><li> Detailed coverage of Quality of Service paradigms and performance metrics across emerging digital ecosystems including extended reality (XR) and cloud computing</li><li> Analysis of key technologies driving Metaverse evolution with insights directly integrated from current ITU standards and established frameworks</li><li> Machine learning implementation strategies for network optimization including practical applications in predictive maintenance and automated anomaly detection systems</li><li> Cybersecurity frameworks addressing digital identity protection, virtual economy security, and risk mitigation strategies for AI-driven telecommunications ecosystems</li><li> Technical foundations spanning broadband internet, IoT integration, 5G and 6G architectures, and their convergence with artificial intelligence capabilities</li></ul> This book is suitable for researchers and graduate students in telecommunications and information engineering, governments and telecom/ICT regulators, professionals in telecom operators and ICT industry, providing authoritative coverage of AI applications in networks and systems, frameworks for intelligent network solutions and addressing emerging security and QoS challenges for immersive metaverse services in future Internet and telecom networks.

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1 Broadband Internet, QoS, and Cybersecurity 1
1.1 Internet Architectures 1
1.2 Fundamental Internet Technologies 5
1.3 Transition to IPv6 15
1.4 Web Technologies (Web 3.0, HTTP 3.0) 17
1.5 Internet QoS 20
1.6 Cybersecurity 24
1.7 Fixed and Mobile Broadband Networks 28
1.8 General IMS (IP Multimedia Subsystem) 37
1.9 3D Internet Access – Converged Fixed, Mobile, and Satellite Broadband 39
1.10 Internet Governance 41

2 Artificial Intelligence (AI) Fundamentals for Telecom Sector 45
2.1 Artificial Intelligence (AI) Evolution in Telecom Sector 45
2.2 Types of Artificial Intelligence 47
2.3 Classification of ML Algorithms 50
2.4 Machine Learning (ML) Model by ITU 54
2.5 Federated Learning (FL) 56
2.6 Generative Artificial Intelligence 59
2.7 Application of Generative AI in Internet and Telecoms 63
2.8 Explainable AI (XAI) and Responsible AI Use 67
2.9 ITU's Network Intelligence Levels 69
2.10 Business Intent-Driven Networks 70

3 Future AI-Based Clouds and Internet of Things 75
3.1 ITU Framework for Cloud and Edge Computing 75
3.2 Cloud Service Models 79
3.3 AI as a Service (AIaaS) and ML as a Service (MLaaS) 80
3.4 Architecture for AI Cloud Platform 83
3.5 AI-Based Telecom Cloud Services 86
3.6 Future Telecom Transition to AI-Based Cloud Computing 87
3.7 Artificial Intelligence in Internet of Things (IoT) 91
3.8 Edge AI and Edge Cloud in IoT 94
3.9 Industrial IoT–AI Framework 96
3.10 AI for IoT Smart Services 100

4 AI for 5G/6G, Spectrum Management, QoS, and Cybersecurity 105
4.1 AI for Network and Capacity Planning and Optimization in 5G/6G 105
4.2 AI/ML-Based Spectrum Management in 5G/6G 112
4.3 AI/ML for Dynamic Spectrum Sharing in 5G/6G 115
4.4 Predictive Analytics and Traffic Forecasting 118
4.5 AI/ML-Based QoS/QoE Management 120
4.6 SDN, Network Functions Virtualization (NFV), and Orchestration 124
4.7 AI/ML-Based Network Slicing in 5G/6G Mobile Networks 127
4.8 AI for Cybersecurity Optimization, Threat Detection, and Response 131
4.9 AI for Fraud Detection and Prevention 134
4.10 AI-Driven Network Automation and Management 136
4.11 Regulatory and Business Impact of AI in Future Internet and Telecoms 140

5 Metaverse and Enabling Technologies: XR, Digital Twins, IoT, and AI 147
5.1 ITU's Definition and Architecture of Metaverse 147
5.2 Internet/IP Networks for Metaverse 150
5.3 Web 4.0 and Virtual Worlds 153
5.4 Virtual Reality (VR) and Augmented Reality (AR) 155
5.5 eXtended Reality (XR) 159
5.6 Digital Twins 163
5.7 ITU Framework of IoT for Metaverse 167
5.8 Cloud and Edge Computing for Metaverse XR Services 170
5.9 AI Impact on Metaverse 173
5.10 Key Business and Regulatory Aspects of the Metaverse 174

6 Metaverse Cybersecurity 181
6.1 Cyber Risks, Threats, and Harms in the Metaverse 181
6.2 AI and Generative AI for Metaverse Cybersecurity 183
6.3 Challenges to Trustworthiness in the Metaverse 187
6.4 Securing and Enforcing Content Moderation in Virtual Spaces 189
6.5 Digital Identity Management in the Metaverse 194
6.6 Security for Devices and Immersive Technologies Across Metaverse 196
6.7 Cybersecurity for Digital Assets and Virtual Economies 198
6.8 Blockchain Security and Quantum-Resistant Cryptography 199
6.9 Cross-Platform Security in the Metaverse 205
6.10 Future Cybersecurity Strategies for Metaverse, Internet, and Telecoms 207
6.11 ITU National Cybersecurity Strategy Framework 207

7 Future 6G and Mobile Metaverse Services 211
7.1 ITU IMT-2030 Framework, Architecture and Capabilities for 6G 211
7.2 Immersive Communication 215
7.3 Hyper-Reliable and Low-Latency Communication (HRLLC) 218
7.4 Massive Communication (Batteryless IoT in 6G) 220
7.5 Ubiquitous Connectivity (3D Global Coverage in 6G) 222
7.6 Artificial Intelligence and Communication (AI-Native 6G Network) 222
7.7 Integrated Sensing and Communication 224
7.8 Deterministic Networking and Time-Sensitive Networks in 6G 226
7.9 Energy Efficiency in 6G Networks and Metaverse 230
7.10 Consumer Mobile Metaverse Services 234
7.11 Enterprise Mobile Metaverse Services 237
7.12 Industrial Mobile Metaverse Services 239
7.13 IoT with Mobile Edge Computing 241
7.14 Telecom 6G Operator vs. OTT (Over The Top) Mobile Metaverse Services 244

8 QoS and KPIs for Future Metaverse, Internet, and Telecoms 249
8.1 QoS, QoE, and Network Performance Definitions by the ITU 249
8.2 QoS and KPIs for 6G/IMT-2030 254
8.3 KPIs for Future Metaverse Services 260
8.4 Consolidated KPIs for Mobile Metaverse Services 262
8.5 Challenges in Measuring and Managing QoS/QoE in the Metaverse 263
8.6 QoS and QoE Measurements for Future Metaverse, Internet, and Telecom Services 265
8.7 Future AI-Driven Traffic and QoS Management 270
8.8 Personalized QoS and QoE Management for Future Users and Services 272
8.9 Edge Computing and QoS in the Metaverse 276
8.10 QoS vs. Network Neutrality in Future Internet and Metaverse 278
8.11 Regulatory and Business Aspects of QoS for Future Metaverse, Internet, and Telecoms 282

9 Conclusions 289

References 293
Index 295

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저자 소개

TONI JANEVSKI, PhD, is a Full Professor in Telecommunications at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Skopje, Macedonia. He established and led the ITU Centre of Excellence at FEEIT from 2009 to 2022, and has been a member of ITU group on capacity building initiatives from 2019 to 2026, demonstrating sustained leadership in international telecommunications standards and education. He has published multiple books, numerous research papers, and has tutored and coordinated many ITU international courses through the ITU Academy. His expertise spans Internet technologies, mobile and wireless networks, QoS/QoE and network design, AI applications, and future networks and services.