Atsiliepimai
Aprašymas
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:
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.
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:
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.
Atsiliepimai