Cybersecurity Data Science: Best Practices in an Emerging Profession

Mongeau, Scott, Hajdasinski, Andrzej

Cybersecurity Data Science: Best Practices in an Emerging Profession
  • 出版商: Springer
  • 出版日期: 2022-10-03
  • 售價: $6,660
  • 貴賓價: 9.5 折 $6,327
  • 語言: 英文
  • 頁數: 388
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030748987
  • ISBN-13: 9783030748982
  • 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)

本書涵蓋了對於資訊安全數據科學（Cybersecurity Data Science，CSDS）作為一個新興專業的系統性探索，並著重於目前與理想實踐之間的差異。本書還分析了新興CSDS專業面臨的挑戰，診斷了關鍵缺口，並提出了促進進步的治療方法。這些見解基於信息系統管理（MIS）學科，並通過對50位全球CSDS從業者的文獻分析和訪談獲得。本書強調了CSDS作為一個以科學方法為基礎的診斷過程。

資訊安全數據科學（CSDS）是一個快速發展的學科，將數據科學方法應用於資訊安全挑戰。CSDS反映了將數據導向的統計、分析和機器學習方法應用於應對不斷增長的安全缺口的興趣。本書提供了對這一發展領域的系統評估，並提供了加強新興CSDS專業的專業嚴謹性和最佳實踐的倡議。

本書將對與資訊安全和數據科學相關的各種專業人士感興趣，包括從業人員、商業、公共部門和學術領域。本書提供的最佳實踐將對CSDS從業者、安全專業人員、風險管理負責人和機構利益相關者感興趣。組織和行業的觀點將對資訊安全分析師、經理、規劃者、戰略家和監管機構感興趣。研究人員和學者將獲得對CSDS領域的系統分析，包括最新技術概述、關鍵挑戰的結構化評估、推薦的最佳實踐和廣泛的參考文獻。

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、研究員和講師。他的研究基於信息系統管理（MIS）領域，整合組織、流程和技術的觀點。他在各行各業設計和部署數據分析解決方案已有三十多年的經驗。目前在Google擔任數據分析解決方案工程師，曾在德勤、SAS Institute、Genentech等公司擔任顧問。Scott目前居住在荷蘭萊頓。

Prof. dr. lr. Andrzej K. Hajdasinski（名譽退休），PhD MSc，曾是埃因霍芬科技大學（1976-77）和荷蘭純科學研究組織（ZWO）（1976-77）的研究員。他曾是埃因霍芬科技大學系統理論的副教授（1980-86），在1986年至2003年期間，他曾與多家IT咨詢公司合作（包括Volmac Nederland、Cap Volmac、Pink Roccade和KPMG）。自2003年起，Hajdasinski擔任Capgemini Outsourcing B.V.的業務發展執行官。在他的職業生涯中，Hajdasinski在荷蘭、德國、法國、英國、波蘭、美國、芬蘭和挪威完成了42個全面的工業項目。他是國際知名期刊的30篇國際著作的作者，發表了25篇會議論文，並擔任過多個國際會議的主席。

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