Cybersecurity Analytics
暫譯: 網路安全分析

Verma, Rakesh M., Marchette, David J.

  • 出版商: CRC
  • 出版日期: 2019-11-20
  • 售價: $5,180
  • 貴賓價: 9.5$4,921
  • 語言: 英文
  • 頁數: 356
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 036734601X
  • ISBN-13: 9780367346010
  • 相關分類: 資訊安全
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material.

The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.

商品描述(中文翻譯)

《網路安全分析》是為了希望學習對於解決網路安全挑戰至關重要的數據科學技術的網路安全學生和專業人士而編寫的,同時也適合希望了解網路安全適應的數據科學學生和專業人士。想要建立一個惡意軟體檢測器、一個釣魚郵件檢測器,或只是對在數據集中尋找模式感興趣嗎?這本書可以讓你自己動手實現。書中包含了大量的範例和數據集連結,讓讀者能夠「透過實作學習」。任何具備基本大學程度微積分課程和一些機率知識的人都能輕鬆理解大部分內容。

本書包含的章節包括:無監督學習、半監督學習、監督學習、文本挖掘、自然語言處理等。它還包括有關安全性、統計學和線性代數的背景知識。書籍的網站提供了數據集清單、更新和其他資源,供認真從業者使用。

作者簡介

Rakesh Verma is a professor of computer science at the University of Houston where he is leading a research group that applies reasoning and data science to cybersecurity challenges. He teaches a course on security analytics that includes some of the material here. Since 2015, he has been co-organizing and editing the proceedings of the ACM International Workshop on Security and Privacy Analytics. He is an editor of Frontiers of Big Data in the Cybersecurity Area, an ACM Distinguished Speaker (2011-2018), and the winner of two Best Paper Awards. He received the Lifetime Mentoring Award from the University of Houston and he is a Fulbright Senior Specialist in Computer Science.

David Marchette is a principal scientist at the Naval Surface Warfare Center, Dahlgren Division where he is responsible for leading basic and applied research projects in computational statistics, graph theory, network analysis, pattern recognition, computer intrusion detection, and text analysis. He is a fellow of the American Statistical Association (ASA) and the American Association for the Advancement of Science (AAAS) and an elected member of the International Statistical Institute (ISI).

作者簡介(中文翻譯)

拉克什·維爾瑪是休士頓大學的計算機科學教授,他領導一個研究小組,將推理和數據科學應用於網絡安全挑戰。他教授一門關於安全分析的課程,其中包含了一些這裡的材料。自2015年以來,他一直共同組織並編輯ACM國際網絡安全與隱私分析研討會的會議論文集。他是網絡安全領域大數據前沿的編輯,曾擔任ACM傑出演講者(2011-2018),並獲得兩項最佳論文獎。他獲得了休士頓大學的終身導師獎,並且是富布賴特計算機科學高級專家。

大衛·馬切特是海軍水面戰爭中心達爾格倫分部的首席科學家,負責領導計算統計、圖論、網絡分析、模式識別、計算機入侵檢測和文本分析的基礎和應用研究項目。他是美國統計協會(ASA)和美國科學促進會(AAAS)的會士,並且是國際統計學會(ISI)的當選成員。