AI and Machine Learning for Network and Security Management

Ge, Jingguo, Li, Tong, Wu, Yulei

  • 出版商: Wiley
  • 出版日期: 2022-11-08
  • 售價: $4,240
  • 貴賓價: 9.5$4,028
  • 語言: 英文
  • 頁數: 304
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119835879
  • ISBN-13: 9781119835875
  • 相關分類: 人工智慧Machine Learning資訊安全
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

商品描述(中文翻譯)

AI和機器學習在網絡和安全管理中的應用

深入了解網絡和安全管理的關鍵任務的豐富資源

AI和機器學習在網絡和安全管理中的應用涵蓋了網絡自動化的一系列關鍵主題,包括資源分配和排程、網絡規劃和路由、加密流量分類、異常檢測和安全操作。此外,作者介紹了他們的大規模智能網絡管理和運營系統,並詳細說明了如何將上述領域整合到該系統中,以及網絡服務如何受益。

這本引人深思的著作涵蓋了一些樣本想法,包括:


  • 認知手段(例如知識轉移)如何幫助網絡和安全管理

  • 不同的先進AI和機器學習技術如何有助於促進網絡自動化

  • 介紹的技術如何應用於許多其他相關的網絡和安全管理任務


網絡工程師、內容服務提供商和網絡安全服務提供商可以使用AI和機器學習在網絡和安全管理中的應用在他們的專業領域做出更好、更明智的決策。各種相關學習計劃的學生也可以通過瞭解歷史基礎知識和看到該領域的重要最新發展來獲得價值。

作者簡介

Yulei Wu, is a Senior Lecturer with the Department of Computer Science, Faculty of Environment, Science and Economy, University of Exeter, UK. His research focuses on networking, Internet of Things, edge intelligence, information security, and ethical AI. He serves as an Associate Editor for IEEE Transactions on Network and Service Management, and IEEE Transactions on Network Science and Engineering, as well as an Editorial Board Member of Computer Networks, Future Generation Computer Systems, and Nature Scientific Reports at Nature Portfolio. 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. His research focuses on Future Network Architecture, 5G/6G, Software-defined networking (SDN), Cloud Native networking, Zero Trust Architecture. He has published more than 60 research papers and is the holder of 28 patents. He participated in the formulation of 3 ITU standards on IMT2020.

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.

作者簡介(中文翻譯)

吳宇磊是英國埃克塞特大學環境、科學和經濟學院計算機科學系的高級講師。他的研究專注於網絡、物聯網、邊緣智能、信息安全和道德人工智能。他擔任IEEE Transactions on Network and Service Management和IEEE Transactions on Network Science and Engineering的副編輯,以及Computer Networks、Future Generation Computer Systems和Nature Scientific Reports at Nature Portfolio的編輯委員會成員。他是IEEE和ACM的高級會員,也是HEA(高等教育學院)的會士。

葛景國目前是中國科學院信息工程研究所的教授,也是中國科學院大學網絡空間安全學院的教授。他的研究專注於未來網絡架構、5G/6G、軟件定義網絡(SDN)、雲原生網絡和零信任架構。他發表了60多篇研究論文,擁有28項專利。他參與了3項ITU關於IMT2020的標準制定。

李彤目前是中國科學院信息工程研究所的高級工程師。他的研究和工程專注於計算機網絡、雲計算、軟件定義網絡(SDN)和分布式網絡和安全管理。他參與了2項ITU關於IMT2020的標準制定,並開發了許多關於SDN、網絡管理和編排的大型軟件系統。