This book will cover network management security issues and currently available security mechanisms by discussing how network architectures have evolved into the contemporary NGNs which support converged services (voice, video, TV, interactive information exchange, and classic data communications). It will also analyze existing security standards and their applicability to securing network management. This book will review 21st century security concepts of authentication, authorization, confidentiality, integrity, nonrepudiation, vulnerabilities, threats, risks, and effective approaches to encryption and associated credentials management/control. The book will highlight deficiencies in existing protocols used for management and the transport of management information.

An unprecedented look into the present and future of next generation networks, services, and management in the telecommunications industry The telecommunications industry has advanced in rapid, significant, and unpredictable ways into the twenty-first century. Next Generation Telecommunications Networks, Services, and Management guides the global industry and academia even further by providing an in-depth look at current and developing trends, as well as examining the complex issues of developing, introducing, and managing cutting-edge telecommunications technologies. This is an orchestrated set of original chapters written expressly for this book by topic experts from around the globe. It addresses next generation technologies and architectures, with the focus on networks, services, and management. Key topics include: Opportunities and challenges of next generation telecommunications networks, services, and management Tri/Quad Play and IP-based networks and services Fault, Configuration, Accounting, Performance, and Security (FCAPS) requirements Convergence and an important convergence vehicle, IP Multimedia Subsystem (IMS) Next generation operations and network management architecture Ad hoc wireless and sensor networks and their management Next generation operations and network management standards from a strategic perspective A defining look at the future in this field This book will serve as a contemporary reference for the growing global community of telecommunication and information professionals in industry, government, and academia. It will be important to faculty and graduate students of telecommunications as a graduate textbook.

This book will cover network management security issues and currently available security mechanisms by discussing how network architectures have evolved into the contemporary NGNs which support converged services (voice, video, TV, interactive information exchange, and classic data communications). It will also analyze existing security standards and their applicability to securing network management. This book will review 21st century security concepts of authentication, authorization, confidentiality, integrity, nonrepudiation, vulnerabilities, threats, risks, and effective approaches to encryption and associated credentials management/control. The book will highlight deficiencies in existing protocols used for management and the transport of management information.

This book responds to the growing need to secure critical infrastructure by creating a starting place for new researchers in secure telecommunications networks. It is the first book to discuss securing current and next generation telecommunications networks by the security community. The book not only discusses emerging threats and systems vulnerability, but also presents the open questions posed by network evolution and defense mechanisms. It is designed for professionals and researchers in telecommunications. The book is also recommended as a secondary text for graduate-level students in computer science and electrical engineering.

AI AND MACHINE LEARNING FOR NETWORK AND SECURITY MANAGEMENT Extensive Resource for Understanding Key Tasks of Network and Security Management AI and Machine Learning for Network and Security Management covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate on how the aforementioned areas can be integrated into this system, plus how the network service can benefit. Sample ideas covered in this thought-provoking work include: How cognitive means, e.g., knowledge transfer, can help with network and security management How different advanced AI and machine learning techniques can be useful and helpful to facilitate network automation How the introduced techniques can be applied to many other related network and security management tasks Network engineers, content service providers, and cybersecurity service providers can use AI and Machine Learning for Network and Security Management to make better and more informed decisions in their areas of specialization. Students in a variety of related study programs will also derive value from the work by gaining a base understanding of historical foundational knowledge and seeing the key recent developments that have been made in the field.

An advanced Domain Name System (DNS) security resource that explores the operation of DNS, its vulnerabilities, basic security approaches, and mitigation strategies DNS Security Management offers an overall role-based security approach and discusses the various threats to the Domain Name Systems (DNS). This vital resource is filled with proven strategies for detecting and mitigating these all too frequent threats. The authors—noted experts on the topic—offer an introduction to the role of DNS and explore the operation of DNS. They cover a myriad of DNS vulnerabilities and include preventative strategies that can be implemented. Comprehensive in scope, the text shows how to secure DNS resolution with the Domain Name System Security Extensions (DNSSEC). In addition, the text includes discussions on security applications facility by DNS, such as anti-spam, SPF, DANE and related CERT/SSHFP records. This important resource: Presents security approaches for the various types of DNS deployments by role (e.g., recursive vs. authoritative) Discusses DNS resolvers including host access protections, DHCP configurations and DNS recursive server IPs Examines DNS data collection, data analytics, and detection strategies With cyber attacks ever on the rise worldwide, DNS Security Management offers network engineers a much-needed resource that provides a clear understanding of the threats to networks in order to mitigate the risks and assess the strategies to defend against threats.

COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new technologies are having on communication systems with this up-to-date and one-stop resource Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning delivers a comprehensive overview of the impact of artificial intelligence (AI) and machine learning (ML) on service and network management. Beginning with a fulsome description of ML and AI, the book moves on to discuss management models, architectures, and frameworks. The authors also explore how AI and ML can be used in service management functions like the generation of workload profiles, service provisioning, and more. The book includes a handpicked selection of applications and case studies, as well as a treatment of emerging technologies the authors predict could have a significant impact on network and service management in the future. Statistical analysis and data mining are also discussed, particularly with respect to how they allow for an improvement of the management and security of IT systems and networks. Readers will also enjoy topics like: A thorough introduction to network and service management, machine learning, and artificial intelligence An exploration of artificial intelligence and machine learning for management models, including autonomic management, policy-based management, intent based management, and network virtualization-based management Discussions of AI and ML for architectures and frameworks, including cloud systems, software defined networks, 5G and 6G networks, and Edge/Fog networks An examination of AI and ML for service management, including the automatic generation of workload profiles using unsupervised learning Perfect for information and communications technology educators, Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning will also earn a place in the libraries of engineers and professionals who seek a structured reference on how the emergence of artificial intelligence and machine learning techniques is affecting service and network management.