AI and Machine Learning for Network and Security Management
暫譯: 網路與安全管理的人工智慧與機器學習

Ge, Jingguo, Li, Tong, Wu, Yulei

  • 出版商: Wiley
  • 出版日期: 2022-11-08
  • 售價: $3,990
  • 貴賓價: 9.5$3,791
  • 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)

網路與安全管理的人工智慧與機器學習

深入了解網路與安全管理關鍵任務的廣泛資源

網路與安全管理的人工智慧與機器學習 涵蓋了網路自動化在網路與安全管理中的一系列關鍵主題,包括資源分配與排程、網路規劃與路由、加密流量分類、異常檢測以及安全操作。此外,作者介紹了他們的大規模智能網路管理與操作系統,並詳細說明了上述領域如何整合進此系統,以及網路服務如何受益。

這部引人深思的著作中涵蓋的示例想法包括:


  • 認知手段(例如,知識轉移)如何幫助網路與安全管理
  • 不同的先進人工智慧與機器學習技術如何有助於促進網路自動化
  • 所介紹的技術如何應用於許多其他相關的網路與安全管理任務

網路工程師、內容服務提供者以及網路安全服務提供者可以利用 網路與安全管理的人工智慧與機器學習 在其專業領域做出更好且更具資訊性的決策。各種相關學習計畫的學生也將從這部著作中獲益,通過獲得歷史基礎知識的基本理解,並了解該領域的最新重要發展。

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)

吳宇雷是英國埃克塞特大學環境、科學與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、信息安全和倫理人工智慧。他擔任《IEEE網絡與服務管理期刊》和《IEEE網絡科學與工程期刊》的副編輯,以及《計算機網絡》、《未來一代計算機系統》和《自然科學報告》的編輯委員會成員。他是IEEE和ACM的高級會員,並且是高等教育學院(HEA)的院士。

葛景國目前是中國科學院信息工程研究所的教授,同時也是中國科學院大學網絡安全學院的教授。他的研究專注於未來網絡架構、5G/6G、軟體定義網絡(SDN)、雲原生網絡和零信任架構。他已發表超過60篇研究論文,並擁有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。他的研究和工程重點在於計算機網絡、雲計算、軟體定義網絡(SDN)以及分佈式網絡和安全管理。他參與了2項ITU關於IMT2020的標準,並開發了許多大型SDN、網絡管理和編排的軟體系統。