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, security operations, and how AI and machine learning can help with the network automation in these areas. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate how the aforementioned areas can be integrated into this system, plus how the network service can benefit. Sample ideas covered in the 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 to use 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.

Yulei Wu, is a Senior Lecturer with the Department of Computer Science, College of Engineering, Mathematics and Physical Sciences, University of Exeter, United Kingdom. He serves as an Associate Editor for IEEE Transactions on Network and Service Management, IEEE Transactions on Network Science and Engineering, and IEEE Access, as well as an Area Editor for Computer Networks (Elsevier). He is a Senior Member of the IEEE and the ACM, and a Fellow of the HEA (Higher Education Academy). Jingguo Ge is currently a Professor of the Institute of Information Engineering, Chinese Academy of Sciences (CAS), and also a Professor of School of Cyber Security, University of Chinese Academy of Sciences. He has published more than 60 research papers and is the holder of 15 patents. He participated in the formulation of 5 ITU standards on IMT2020. Professor Ge received his Ph.D. degree in Computer System Architecture from the Institute of Computing Technology of Chinese Academy of Sciences in 2003. Tong Li, is currently a Senior Engineer of Institute of Information Engineering at the Chinese Academy of Sciences (CAS). His research and engineering focus on Computer Networks, Cloud Computing, Software-Defined Networking (SDN), and Distributed Network and Security Management. He participated 2 ITU standards on IMT2020 and developed many large-scale software systems on SDN, network management and orchestration.

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