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＜電子ブック＞
Cybersecurity in Digital Transformation : Scope and Applications / by Dietmar P.F. Möller
(SpringerBriefs on Cyber Security Systems and Networks. ISSN:2522557X)

版	1st ed. 2020.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2020
本文言語	英語
大きさ	XIX, 114 p. 22 illus : online resource
著者標目	*Möller, Dietmar P.F author SpringerLink (Online service)
件　名	LCSH:Computer networks -- Security measures  全ての件名で検索 LCSH:Machine learning FREE:Mobile and Network Security FREE:Machine Learning
一般注記	1.Cybersecurity in Digital Transformation -- 2.Introduction to Cybersecurity -- 3.Threat Intelligence -- 4.Intrusion Detection and Prevention -- 5.Machine Learning and Deep Learning -- 6.Attach Models and Scenarios -- 7.Cybersecurity Ontology -- 8.Cybersecurity Leadership This book brings together the essential methodologies required to understand the advancement of digital technologies into digital transformation, as well as to protect them against cyber threat vulnerabilities (in this context cybersecurity attack ontology is included, modeling different types of adversary knowledge). It covers such essential methodologies as CIA Triad, Security Risk, Likelihood, and Consequence Level, Threat Attack Profiling, Threat Intelligence, Threat Lifecycle and more. The idea behind digital transformation is to use digital technologies not only to replicate an existing process in a digital form, but to use digital technology to transform that process into something intelligent (where anything is connected with everything at any time and accessible and controlled and designed advanced). Against this background, cyber threat attacks become reality, using advanced digital technologies with their extreme interconnected capabilitywhich call for sophisticated cybersecurity protecting digital technologies of digital transformation. Scientists, advanced-level students and researchers working in computer science, electrical engineering and applied mathematics will find this book useful as a reference guide. Professionals working in the field of big data analytics or digital/intelligent manufacturing will also find this book to be a valuable tool. HTTP:URL=https://doi.org/10.1007/978-3-030-60570-4

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