Table Of ContentSPRINGER BRIEFS ON
CYBER SECURITY SYSTEMS AND NETWORKS
Dietmar P.F. Möller
Cybersecurity
in Digital
Transformation
Scope and
Applications
SpringerBriefs on Cyber Security Systems and
Networks
Editor-in-Chief
Yang Xiang, Digital Research and Innovation Capability Platform,
Swinburne University of Technology, Hawthorn, Melbourne, VIC, Australia
Series editors
Liqun Chen , Department of Computer Science, University of Surrey,
Guildford, Surrey, UK
Kim-Kwang Raymond Choo , Department of Information Systems,
University of Texas at San Antonio, San Antonio,TX, USA
Sherman S. M. Chow , Department of Information Engineering,
The Chinese University of Hong Kong, Shatin, Hong Kong
Robert H. Deng , School of Information Systems, Singapore Management
University, Singapore, Singapore
Dieter Gollmann, Hamburg University of Technology, Hamburg, Germany
Kuan-Ching Li, Department of Computer Science and Information Engineering,
Providence University, Taichung, Taiwan
Javier Lopez, Computer Science Department, University of Málaga,
Málaga, Spain
Kui Ren, University at Buffalo, Buffalo, NY, USA
Jianying Zhou , Infocomm Security Department, Institute for Infocomm
Research, Singapore, Singapore
The series aims to develop and disseminate an understanding of innovations,
paradigms, techniques, and technologies in the contexts of cyber security systems
and networks related research and studies. It publishes thorough and cohesive
overviews of state-of-the-art topics in cyber security, as well as sophisticated
techniques, original research presentations and in-depth case studies in cyber
systems and networks. The series also provides a single point of coverage of
advanced and timely emerging topics as well as a forum for core concepts that may
not have reached a level of maturity to warrant a comprehensive textbook. It
addresses security, privacy, availability, and dependability issues for cyber systems
and networks, and welcomes emerging technologies, such as artificial intelligence,
cloud computing, cyber physical systems, and big data analytics related to cyber
security research. The mainly focuses on the following research topics:
Fundamentals and theories
• Cryptography for cyber security
• Theories of cyber security
• Provable security
Cyber Systems and Networks
• Cyber systems security
• Network security
• Security services
• Social networks security and privacy
• Cyber attacks and defense
• Data-driven cyber security
• Trusted computing and systems
Applications and others
• Hardware and device security
• Cyber application security
• Human and social aspects of cyber security
More information about this series at http://www.springer.com/series/15797
Dietmar P. F. Möller
Cybersecurity in Digital
Transformation
Scope and Applications
Dietmar P. F. Möller
Computer Engineering
Clausthal University of Technology
Clausthal-Zellerfeld, Germany
ISSN 2522-5561 ISSN 2522-557X (electronic)
SpringerBriefs on Cyber Security Systems and Networks
ISBN 978-3-030-60569-8 ISBN 978-3-030-60570-4 (eBook)
https://doi.org/10.1007/978-3-030-60570-4
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
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Foreword
Modern market dynamics are reviving up the industry. New industry is turning more
to the combine of automation and information technology, in order to improve quality,
productivity, safety, speed, competitiveness, flexibilities, and reducing costs. The
recent innovations on digital transformation have been at the forefront in setting a new
industrial model, which is named as fourth Industrial Revolution in Germany today.
The German Industry 4.0 raised new intelligent applications, such as intelligent
manufacturing, powered by different advanced technologies as intelligent and con-
nected components from the cyber and the physical world, which have to be
designed by security measures to prevent cyber threat attacks by cyber-criminals.
Beside this, security against cyber-criminal threat attacks is an essential issue in the
data processing through various intelligent network and communication systems.
This book shows the importance and the basic concept of cybersecurity, a
systematic overview of the latest development in methods and technologies, and
provides a whole framework of cybersecurity in digital transformation. The con-
cepts of threat intelligence, intrusion detection and prevention, machine learning
and deep learning, attack models and scenarios, cybersecurity ontology, and
challenges for cybersecurity leadership are introduced, and discussed in detail.
Author has also analyzed the threat intelligence, how to prevent threat intrusion
detection, system complexity under varying constrains and scenarios in intelli-
gent manufacturing.
In this context, the Sino-German Lighthouse Cooperation project TEDUNET
with its focus on Intelligent Manufacturing, supported by the Chinese Ministry of
Industry and Information Technology (MIIT), should be mentioned. The TEDUNET
project is between Zhengzhou University (ZZU), China, and Technology University
Clausthal (TUC), Germany, and focus on CPS, cybersecurity in intelligent manu-
facturing. Cybersecurity and intelligent manufacturing are two important issues in
Chinese national policy. I have studied many from the draft of this book!
I think this book has shown many creative ideas of ongoing research work and
fundamentals focusing on cybersecurity in digital transformation, which are derived
from the practices by authors in TU Claustahl. The chapters of this book are well
written and organized, showing the deep understanding thorough professional
v
vi Foreword
knowledge about the cybersecurity. Therefore, I would like to strongly recommend:
this book should be looked as a very important book or textbook to gain knowledge
in cybersecurity in digital transformation.
Foreword vii
Sino-German Institute, Zhengzhou University Weiyan Hou
Zhengzhou, Henan, China
Preface
The goal of this monograph is to provide a comprehensive, in-depth, and state-of-
the-art summary of cybersecurity in the era of digital transformation, which has
achieved great interest recently, particularly in public and private organizations. The
monograph provides a systematic overview of the latest development in methods
and technologies in cybersecurity in the era of digital transformation with the focus
on cybersecurity, threat intelligence, intrusion detection and prevention, machine
learning and deep learning, attack models and scenarios, cybersecurity ontology,
and challenges for cybersecurity leadership. Thus, the monograph provides a frame-
work within which the reader can assimilate the associated requirements. Without
such a reference, the practitioner is left to ponder the plethora of terms, standards,
and practices that have been developed independently and that often lack cohesion,
particularly in nomenclature and emphasis. Therefore, this monograph is intended
to both cover all aspects of cybersecurity in digital transformation and to provide a
framework for consideration of the many issues associated with cybersecurity in
digital transformation. The outline is as follows:
Chapter 1 describes the importance of cybersecurity in the era of digital transfor-
mation with regard to the impact of the fourth technological wave and their impor-
tance to circular economy.
Chapter 2 provides the relevant cybersecurity background which is among the
most important board-level issues for nearly every public and private organization.
Thus, the protection of data, generated in connected digital transformative environ-
ments, accessible from any location and at any time, is important in order to stay
secure through cybersecurity methods.
Chapter 3 introduces threat intelligence as an evidence-based knowledge that
allows preventing or mitigating cyber threat attacks to data. Threat intelligence
results in methods of informed decisions about security by answering questions
such as who is attacking, what is attacker’s motivation as well as capability, and
others. This requires a detailed analysis of well-known and documented attack inci-
dents, which may reveal identifiable cyber threat interactions or dependency
patterns.
ix
x Preface
Chapter 4 discusses threat intrusion, detection, and prevention methods to iden-
tifying malicious incidents, logging information about them, attempting to stop
them and reporting the identified malicious attack to incident response teams for
support. In this regard, intrusion detection and prevention strategies are becoming
important knowledge to decide about the right approach to secure critical and cru-
cial infrastructure against malicious cyber threat attack incidents.
Chapter 5 surveys machine learning and deep learning, two methodologies which
have gained importance due to the impact of digital transformation and the increas-
ing growth of data sets, to improve intrusion detection system performance. Two
use case examples are introduced.
Chapter 6 provides knowledge about cyber attackers, to develop attack models
for security analysis of different cyber-attack scenarios. This allows simulating dis-
tinct attack paths or alternative approaches on how to secure the targets the cyber
attacker tries to attack. This methodology is introduced as a profiling approach to
gain prior knowledge for potential cyber-criminal attacker scenarios, based on cyber
threat attackers’ motivation.
Chapter 7 discusses ontologies which are explicit conceptualizations of subject
domains and therefore an important method for knowledge acquisition and knowl-
edge sharing. Ontologies are an essential methodological approach for knowledge-
intensive problem-solving that involves reasoning about objects and concepts in a
particular domain or information resource with the scope enhancing cybersecurity
in the respective data space.
Chapter 8 concludes this monograph by providing an overview of the challenges
to gain the respective knowledge for cybersecurity leadership in the era of digital
transformation.
I thank all authors who have published cybersecurity material and directly or
indirectly contributed to this monograph through citation. In particular I thank the
president of TU Clausthal, Germany, Prof. Dr. Joachim Schachtner, for supporting
my research work on the fourth technological wave. This research is partly sup-
ported by “Study of the Sino-German Joint- Training- Model for Engineering
Students of the Sino-German Lighthouse Cooperation Projects on Intelligent
Manufacturing” of the Chinese Ministry of Industry and Information Technology
(MIIT), and the “Strategic Consultant Research Project of the Henan Sub-branch of
the Chinese Academy of Engineering 2020.” I also would like to thank Mr. Ashwin
Bala Vidya of QSO-Technologies India Pvt. Ltd. for his excellent assistance in
proof reading. Most notably I would like to deeply thank my wife Angelika, my
daughter Christina, and my grandchildren Hannah, Karl, and Teresa, for their
encouragement, patience, and understanding while I was writing the monograph.
Clausthal-Zellerfeld, Germany Dietmar P. F. Möller
