Cybersecurity Data Science: Best Practices in an Emerging Profession
暫譯: 網路安全數據科學：新興職業的最佳實踐

Mongeau, Scott, Hajdasinski, Andrzej

Cybersecurity Data Science: Best Practices in an Emerging Profession
  • 出版商: Springer
  • 出版日期: 2021-10-03
  • 售價: $6,720
  • 貴賓價: 9.5 折 $6,384
  • 語言: 英文
  • 頁數: 401
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030748952
  • ISBN-13: 9783030748951
  • 相關分類: Data Science、資訊安全

    • 海外代購書籍(需單獨結帳)

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商品描述

This book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging profession, focusing on current versus idealized practice. This book also analyzes challenges facing the emerging CSDS profession, diagnoses key gaps, and prescribes treatments to facilitate advancement. Grounded in the management of information systems (MIS) discipline, insights derive from literature analysis and interviews with 50 global CSDS practitioners. CSDS as a diagnostic process grounded in the scientific method is emphasized throughout

 

Cybersecurity Data Science (CSDS) is a rapidly evolving discipline which applies data science methods to cybersecurity challenges. CSDS reflects the rising interest in applying data-focused statistical, analytical, and machine learning-driven methods to address growing security gaps. This book offers a systematic assessment of the developing domain. Advocacy is provided to strengthen professional rigor and best practices in the emerging CSDS profession.

 

This book will be of interest to a range of professionals associated with cybersecurity and data science, spanning practitioner, commercial, public sector, and academic domains. Best practices framed will be of interest to CSDS practitioners, security professionals, risk management stewards, and institutional stakeholders. Organizational and industry perspectives will be of interest to cybersecurity analysts, managers, planners, strategists, and regulators. Research professionals and academics are presented with a systematic analysis of the CSDS field, including an overview of the state of the art, a structured evaluation of key challenges, recommended best practices, and an extensive bibliography.

商品描述(中文翻譯)

這本書系統性地探討了作為新興職業的網路安全數據科學（Cybersecurity Data Science, CSDS），重點在於當前實踐與理想實踐之間的差異。本書還分析了新興的 CSDS 職業所面臨的挑戰，診斷出關鍵的缺口，並提出解決方案以促進進步。本書以資訊系統管理（Management of Information Systems, MIS）學科為基礎，洞見來自於文獻分析和對 50 位全球 CSDS 從業者的訪談。整本書強調 CSDS 作為一個基於科學方法的診斷過程。

網路安全數據科學（CSDS）是一個快速發展的學科，將數據科學方法應用於網路安全挑戰。CSDS 反映了對於應用以數據為中心的統計、分析和機器學習驅動的方法來解決日益增長的安全漏洞的興趣上升。本書提供了對這一發展領域的系統評估，並倡導加強新興 CSDS 職業的專業嚴謹性和最佳實踐。

本書將吸引與網路安全和數據科學相關的各類專業人士，包括從業者、商業界、公部門和學術界。所框架的最佳實踐將引起 CSDS 從業者、安全專業人士、風險管理負責人和機構利益相關者的興趣。組織和行業的觀點將吸引網路安全分析師、經理、規劃者、策略家和監管者。研究專業人士和學者將獲得對 CSDS 領域的系統分析，包括最新技術的概述、關鍵挑戰的結構性評估、推薦的最佳實踐以及廣泛的參考書目。

作者簡介

 

Scott Allen Mongeau, PhD MBA MA MA GD, OR Society CSci, INFORMS CAP, is a data analytics practitioner, researcher, and lecturer. His research is based in the management of information systems (MIS) domain, integrating organizational, process, and technical perspectives. He has over three decades of experience designing and deploying data analytics solutions across a range of industries. Currently an analytics solution engineer at Google, he has worked with Deloitte, SAS Institute, Genentech, and a range of companies as a consultant. Scott is based in Leiden, Netherlands.

Prof. dr. lr. Andrzej K. Hajdasinski (emeritus), PhD MSc, is a former fellow of the Technical University of Eindhoven (1976-77) and the Dutch Organization for Pure Scientific Research (ZWO) (1976-77). Formerly an Associate Professor in Systems Theory at Technical University of Eindhoven (1980-86), between 1986 and 2003 he worked with a range of IT consulting companies (a.o. Volmac Nederland, Cap Volmac, Pink Roccade and KPMG). From 2003 Hajdasinski has held the position of Business Development Executive with Capgemini Outsourcing B.V. During his professional career Hajdasinski has delivered 42 full scope industrial projects in the Netherlands, Germany, France, UK, Poland, USA, Finland, and Norway. He is an author of 30 international publications in renowned international journals, 25 conference papers, and has been a chairman of many international conferences.

 

作者簡介(中文翻譯)

Scott Allen Mongeau, PhD MBA MA MA GD, OR Society CSci, INFORMS CAP，是一位數據分析實踐者、研究者和講師。他的研究基於管理資訊系統（MIS）領域，整合了組織、流程和技術的觀點。他在設計和部署數據分析解決方案方面擁有超過三十年的經驗，涵蓋多個行業。目前，他是Google的分析解決方案工程師，曾與Deloitte、SAS Institute、Genentech及多家企業擔任顧問。Scott目前居住在荷蘭萊頓。

Prof. dr. lr. Andrzej K. Hajdasinski（榮譽退休），PhD MSc，是前埃因霍溫科技大學（Technical University of Eindhoven）和荷蘭純科學研究組織（ZWO）的研究員（1976-77）。他曾擔任埃因霍溫科技大學系統理論的副教授（1980-86），在1986年至2003年間，他與多家IT諮詢公司合作（如Volmac Nederland、Cap Volmac、Pink Roccade和KPMG）。自2003年以來，Hajdasinski擔任Capgemini Outsourcing B.V.的商業發展執行官。在他的職業生涯中，Hajdasinski在荷蘭、德國、法國、英國、波蘭、美國、芬蘭和挪威交付了42個全範圍的工業項目。他是30篇國際期刊的作者，發表了25篇會議論文，並曾擔任多個國際會議的主席。

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