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Security and Quality in Cyber-Physical Systems Engineering

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Cover of 'Security and Quality in Cyber-Physical Systems Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Security and Quality Improvement in Complex Cyber-Physical Systems Engineering
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    Chapter 2 Engineering in an International Context: Risks and Challenges
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    Chapter 3 Managing Complexity Within the Engineering of Product and Production Systems
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    Chapter 4 Engineering of Signaling Systems
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    Chapter 5 On the Need for Data-Based Model-Driven Engineering
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    Chapter 6 On Testing Data-Intensive Software Systems
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    Chapter 7 Product/ion-Aware Analysis of Collaborative Systems Engineering Processes
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    Chapter 8 Engineering Data Logistics for Agile Automation Systems Engineering
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    Chapter 9 Efficient and Flexible Test Automation in Production Systems Engineering
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    Chapter 10 Reengineering Variants of MATLAB/Simulink Software Systems
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    Chapter 11 Security Analysis and Improvement of Data Logistics in AutomationML-Based Engineering Networks
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    Chapter 12 Securing Information Against Manipulation in the Production Systems Engineering Process
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    Chapter 13 Design and Run-Time Aspects of Secure Cyber-Physical Systems
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    Chapter 14 Digital Twins for Cyber-Physical Systems Security: State of the Art and Outlook
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    Chapter 15 Radio Frequency (RF) Security in Industrial Engineering Processes
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    Chapter 16 Secure and Safe IIoT Systems via Machine and Deep Learning Approaches
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    Chapter 17 Revisiting Practical Byzantine Fault Tolerance Through Blockchain Technologies
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    Chapter 18 Conclusion and Outlook on Security and Quality of Complex Cyber-Physical Systems Engineering
Attention for Chapter 14: Digital Twins for Cyber-Physical Systems Security: State of the Art and Outlook
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Chapter title
Digital Twins for Cyber-Physical Systems Security: State of the Art and Outlook
Chapter number 14
Book title
Security and Quality in Cyber-Physical Systems Engineering
Published by
Springer, Cham, November 2019
DOI 10.1007/978-3-030-25312-7_14
Book ISBNs
978-3-03-025311-0, 978-3-03-025312-7
Authors

Matthias Eckhart, Andreas Ekelhart, Eckhart, Matthias, Ekelhart, Andreas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Student > Master 14 15%
Student > Bachelor 8 9%
Researcher 8 9%
Student > Doctoral Student 4 4%
Other 7 8%
Unknown 35 38%
Readers by discipline Count As %
Engineering 20 22%
Computer Science 18 20%
Business, Management and Accounting 3 3%
Unspecified 3 3%
Economics, Econometrics and Finance 3 3%
Other 6 7%
Unknown 38 42%