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Cybersecurity data science = best pr...

Mongeau, Scott.

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Cybersecurity data science = best practices in an emerging profession /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cybersecurity data science/ by Scott Mongeau, Andrzej Hajdasinski.
其他題名:	best practices in an emerging profession /
作者:	Mongeau, Scott.
其他作者:	Hajdasinski, Andrzej.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xxvii, 388 p. :ill., digital ;24 cm.
內容註:	1. Summary Introduction -- 2. Phase I: CSDS as an Emerging Profession - Diagnostic Literature Analysis -- 3 Phase II: CSDS Practitioners - Diagnostic Opinion Research and Gap Analysis -- 4 Phase III: CSDS Gap-Prescriptions - Design Science Problem Solving -- 5. Research Conclusions and Discussion -- 6. Managerial Recommendations -- References.
Contained By:	Springer Nature eBook
標題:	Computer security. -
電子資源:	https://doi.org/10.1007/978-3-030-74896-8
ISBN:	9783030748968

Cybersecurity data science = best practices in an emerging profession /
Mongeau, Scott.

Cybersecurity data sciencebest practices in an emerging profession /[electronic resource] :by Scott Mongeau, Andrzej Hajdasinski. - Cham :Springer International Publishing :2021. - xxvii, 388 p. :ill., digital ;24 cm.

1. Summary Introduction -- 2. Phase I: CSDS as an Emerging Profession - Diagnostic Literature Analysis -- 3 Phase II: CSDS Practitioners - Diagnostic Opinion Research and Gap Analysis -- 4 Phase III: CSDS Gap-Prescriptions - Design Science Problem Solving -- 5. Research Conclusions and Discussion -- 6. Managerial Recommendations -- References.

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.

ISBN: 9783030748968

Standard No.: 10.1007/978-3-030-74896-8doiSubjects--Topical Terms:

540555
Computer security.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Cybersecurity data science = best practices in an emerging profession /
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