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Table of Contents
1 Introduction to Security and Quality Improvement in Complex Cyber-Physical Systems Engineering
2 Engineering in an International Context: Risks and Challenges
3 Managing complexity within the Engineering of Product and Production systems
4 Engineering of Signaling Systems
5 On the Need for Data-Based Model-Driven Engineering
6 On Testing Data-Intensive Software Systems
7 Product/ion-Aware Analysis of Collaborative Systems Engineering Processes
8 Engineering Data Logistics for Agile Automation Systems Engineering: Requirements and Solution Concepts with AutomationML
9 Efficient and Flexible Test Automation in Production Systems Engineering
10 Re-engineering Variants of MATLAB/Simulink Software Systems
11 Security Analysis and Improvement of Data Logistics in AutomationML based Engineering Networks
12 Securing Information against Manipulation in the Production Systems Engineering Process
13 Design and Run-time Aspects of Secure Cyber-Physical Systems
14 Digital Twins for Cyber-Physical Systems Security: State of the Art and Outlook
15 Radio Frequency (RF) Security in Industrial Engineering Processes
16 Secure and Safe IIoT Systems via Machine and Deep Learning Approaches
17 Revisiting Practical Byzantine Fault Tolerance Through Blockchain Technologies
18 Conclusions and Outlook on Security and Quality in Complex Cyber-Physical Systems Engineering.
2 Engineering in an International Context: Risks and Challenges
3 Managing complexity within the Engineering of Product and Production systems
4 Engineering of Signaling Systems
5 On the Need for Data-Based Model-Driven Engineering
6 On Testing Data-Intensive Software Systems
7 Product/ion-Aware Analysis of Collaborative Systems Engineering Processes
8 Engineering Data Logistics for Agile Automation Systems Engineering: Requirements and Solution Concepts with AutomationML
9 Efficient and Flexible Test Automation in Production Systems Engineering
10 Re-engineering Variants of MATLAB/Simulink Software Systems
11 Security Analysis and Improvement of Data Logistics in AutomationML based Engineering Networks
12 Securing Information against Manipulation in the Production Systems Engineering Process
13 Design and Run-time Aspects of Secure Cyber-Physical Systems
14 Digital Twins for Cyber-Physical Systems Security: State of the Art and Outlook
15 Radio Frequency (RF) Security in Industrial Engineering Processes
16 Secure and Safe IIoT Systems via Machine and Deep Learning Approaches
17 Revisiting Practical Byzantine Fault Tolerance Through Blockchain Technologies
18 Conclusions and Outlook on Security and Quality in Complex Cyber-Physical Systems Engineering.