Machine Learning for Computer and Cyber Security: Principle, Algorithms, and Practices (dhl)
暫譯: 電腦與網路安全的機器學習：原則、演算法與實踐

Gupta, Brij B., Sheng, Quan Z.

Machine Learning for Computer and Cyber Security: Principle, Algorithms, and Practices (dhl)
  • 出版商: CRC
  • 出版日期: 2021-03-31
  • 售價: $2,800
  • 貴賓價: 9.5 折 $2,660
  • 語言: 英文
  • 頁數: 364
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367780275
  • ISBN-13: 9780367780272
  • 相關分類: Machine Learning、Algorithms-data-structures、資訊安全

    • 立即出貨 (庫存=1)

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商品描述

While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques.

 

This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals.

 

 

Key Features:

  • This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security.
  • It showcases important security aspects and current trends in the field.
  • It provides an insight of the future research directions in the field.
  • Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner.

 

商品描述(中文翻譯)

電腦安全是一個更廣泛的術語，涵蓋了技術、協議、標準和政策，以確保計算系統的安全性，包括計算機硬體、軟體及其儲存的信息。而網路安全則是一個特定且不斷增長的領域，旨在保護計算機網路（無論是線上還是離線）免受未經授權的訪問、機器人網絡、網路釣魚詐騙等威脅。機器學習是計算機科學的一個分支，使計算機能夠根據可觀察和可驗證的數據和信息採取新的行為。它可以應用於通過數據挖掘和其他技術來檢測異常，以確保計算機及其信息的安全性。

 

本書將成為理解機器學習和數據挖掘在建立計算機和網路安全中重要性的寶貴資源。它強調與計算機和網路安全相關的重要安全方面，以及機器學習和數據挖掘基於解決方案的分析。本書還突顯了這些解決方案可以應用的未來研究領域。此外，它滿足了IT專業人員、研究人員、教職員、科學家、研究生、研究學者和軟體開發人員的需求，這些人希望在網路安全領域使用基於機器學習的方法進行研究和開發對抗解決方案。對於計算機科學與工程及網路安全專業人士而言，這是一本廣泛的信息來源。

 

 

主要特點：


  • 本書包含示例和插圖，以演示機器學習和數據挖掘在計算機和網路安全中的原則、算法、挑戰和應用。

  • 它展示了該領域的重要安全方面和當前趨勢。

  • 它提供了該領域未來研究方向的洞見。

  • 本書的內容幫助學生為更好地防禦做好準備，理解攻擊者的動機，以及如何使用基於機器學習的方法更好地處理和減輕情況。

 

作者簡介

Brij B. Gupta received PhD degree from Indian Institute of Technology Roorkee, India in Information and Cyber Security. He published more than 175 research papers in International Journals and Conferences of high repute including IEEE, Elsevier, ACM, Springer, Wiley, Taylor & Francis, Inderscience, etc. He has visited several countries, i.e. Canada, Japan, Malaysia, Australia, China, Hong-Kong, Italy, Spain etc to present his research work. His biography was selected and published in the 30th Edition of Marquis Who's Who in the World, 2012. Dr. Gupta also received Young Faculty research fellowship award from Ministry of Electronics and Information Technology, Government of India in 2017. He is also working as principal investigator of various R&D projects. He is serving as associate editor of IEEE Access, IEEE TII, and Executive editor of IJITCA, Inderscience, respectively. At present, Dr. Gupta is working as Assistant Professor in the Department of Computer Engineering, National Institute of Technology Kurukshetra India. His research interest includes Information security, Cyber Security, Mobile security, Cloud Computing, Web security, Intrusion detection and Phishing.

 

Michael Sheng is a full Professor and Head of Department of Computing at Macquarie University. Before moving to Macquarie, Michael spent 10 years at School of Computer Science, the University of Adelaide (UoA). Michael holds a PhD degree in computer science from the University of New South Wales (UNSW) and did his post-doc as a research scientist at CSIRO ICT Centre. From 1999 to 2001, Sheng also worked at UNSW as a visiting research fellow. Prior to that, he spent 6 years as a senior software engineer in industries.

 

Prof. Sheng has more than 280 publications as edited books and proceedings, refereed book chapters, and refereed technical papers in journals and conferences including ACM Computing Surveys, ACM TOIT, ACM TOMM, ACM TKDD, VLDB Journal, Computer (Oxford), IEEE TPDS, TKDE, DAPD, IEEE TSC, WWWJ, IEEE Computer, IEEE Internet Computing, Communications of the ACM, VLDB, ICDE, ICDM, CIKM, EDBT, WWW, ICSE, ICSOC, ICWS, and CAiSE. Dr. Michael Sheng is the recipient of the ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003). 

作者簡介(中文翻譯)

Brij B. Gupta 於印度羅爾基大學 (Indian Institute of Technology Roorkee) 獲得資訊與網路安全 (Information and Cyber Security) 的博士學位。他在包括 IEEE、Elsevier、ACM、Springer、Wiley、Taylor & Francis、Inderscience 等高聲望的國際期刊和會議上發表了超過 175 篇研究論文。他曾前往多個國家，如加拿大、日本、馬來西亞、澳大利亞、中國、香港、義大利、西班牙等地展示他的研究成果。他的傳記於 2012 年被選入《馬基斯世界名人錄》第 30 版。Gupta 博士於 2017 年獲得印度電子與資訊技術部 (Ministry of Electronics and Information Technology, Government of India) 的青年教師研究獎學金。他目前擔任多個研發項目的首席研究員，並擔任 IEEE Access、IEEE TII 的副編輯，以及 Inderscience 的 IJITCA 執行編輯。目前，Gupta 博士在印度庫魯克舍特拉國立技術學院 (National Institute of Technology Kurukshetra) 的計算機工程系擔任助理教授。他的研究興趣包括資訊安全、網路安全、行動安全、雲計算、網頁安全、入侵檢測和網路釣魚。

Michael Sheng 是麥考瑞大學 (Macquarie University) 計算系的全職教授及系主任。在加入麥考瑞大學之前，Michael 在阿德萊德大學 (University of Adelaide, UoA) 的計算機科學學院工作了 10 年。Michael 擁有新南威爾士大學 (University of New South Wales, UNSW) 的計算機科學博士學位，並在 CSIRO ICT 中心擔任研究科學家的博士後研究員。從 1999 年到 2001 年，Sheng 也曾在 UNSW 擔任訪問研究員。在此之前，他在業界擔任了 6 年的高級軟體工程師。

Sheng 教授擁有超過 280 篇的出版物，包括編輯書籍和會議論文集、經過審核的書章以及經過審核的技術論文，發表於 ACM Computing Surveys、ACM TOIT、ACM TOMM、ACM TKDD、VLDB Journal、Computer (Oxford)、IEEE TPDS、TKDE、DAPD、IEEE TSC、WWWJ、IEEE Computer、IEEE Internet Computing、Communications of the ACM、VLDB、ICDE、ICDM、CIKM、EDBT、WWW、ICSE、ICSOC、ICWS 和 CAiSE 等期刊和會議。Michael Sheng 博士曾獲得 ARC Future Fellowship (2014)、Chris Wallace 傑出研究貢獻獎 (2012) 和微軟研究獎學金 (2003)。

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