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portada Ai and Machine Learning for Network and Security Management (Ieee Press Series on Networks and Service Management)
Type
Physical Book
Year
2022
Language
English
Pages
300
Format
Hardcover
Dimensions
22.9 x 15.2 x 1.8 cm
Weight
0.58 kg.
ISBN13
9781119835875

Ai and Machine Learning for Network and Security Management (Ieee Press Series on Networks and Service Management)

Yulei Wu (Author) · Jingguo Ge (Author) · Tong Li (Author) · Wiley-IEEE Press · Hardcover

Ai and Machine Learning for Network and Security Management (Ieee Press Series on Networks and Service Management) - Ge, Jingguo ; Li, Tong ; Wu, Yulei

Physical Book

£ 117.57

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
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Synopsis "Ai and Machine Learning for Network and Security Management (Ieee Press Series on Networks and Service Management)"

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.

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The book is written in English.
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