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派博传思国际中心 »期刊书目

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Titlebook: Cybersecurity Data Science; Best Practices in an Scott Mongeau,Andrzej Hajdasinski Book 2021 Springer Nature Switzerland AG 2021 cybersecur

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发表于 2025-3-21 19:01:34 | 显示全部楼层 |阅读模式
书目名称Cybersecurity Data Science
副标题Best Practices in an
编辑Scott Mongeau,Andrzej Hajdasinski
视频videohttp://file.papertrans.cn/242/241900/241900.mp4
概述Provides a systematic assessment of the CSDS domain from organizational, methodological, and technical perspectives.Frames key challenges facing the emerging CSDS profession, leading to structured bes
图书封面Titlebook: Cybersecurity Data Science; Best Practices in an Scott Mongeau,Andrzej Hajdasinski Book 2021 Springer Nature Switzerland AG 2021 cybersecur
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. 
出版日期Book 2021
关键词cybersecurity; data science; CSDS; security analytics; data analytics; machine learning; Statistics; Big Da
版次1
doihttps://doi.org/10.1007/978-3-030-74896-8
isbn_softcover978-3-030-74898-2
isbn_ebook978-3-030-74896-8
copyrightSpringer Nature Switzerland AG 2021
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https://doi.org/10.1007/978-3-030-74896-8cybersecurity; data science; CSDS; security analytics; data analytics; machine learning; Statistics; Big Da
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Role of the Medulla in Acute Renal Failureizations, choosing not to connect to and participate in this digital cybersphere is a self-limiting option. However, assuring the continuity and integrity of digital infrastructure is a growing challenge.
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https://doi.org/10.1007/978-981-16-8371-8gh integrated literature analysis in . assert that CSDS body of theory must advance to facilitate the professional emergence of the new domain. A range of sensitizing concepts were derived from literature analysis (. per Sect. .) to provide a foundation for interview and gap analysis undertaken in t
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https://doi.org/10.1007/978-981-16-8371-8xplored through triangulated diagnostic methods as an emerging practitioner discipline. In the preceding phases, practice-oriented diagnostic research has been undertaken, encompassing background analysis (.), opinion research (.), and gap analysis (.). Per guidance from Doorewaard and Verschuren (2
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https://doi.org/10.1007/978-981-16-8371-8izations, choosing not to connect to and participate in this digital cybersphere is a self-limiting option. Assuring the continuity and integrity of digital infrastructure is a growing challenge for many organizations.
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https://doi.org/10.1007/978-981-16-8371-8, practitioners, researchers, educators, strategists, planners, and analysts. In mapping CSDS challenges and prescribing practical treatments, this work offers guidance to those interested in advancing CSDS professional practice and general effectiveness, including stakeholders planning programmatic
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