Książka Cybersecurity Data Science Scott Mongeau

Cybersecurity Data Science

Best Practices in an Emerging Profession

Język: Angielski
Oprawa: Miękka
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-18 dni
473.96
This book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging p...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2022
strony
388
EAN
9783030748982
Enbook ID
41533194
Waga
580
Wymiary
155 x 235 x 23

Pełny opis

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.

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