Full Description
This book examines the requirements, risks, and solutions to improve the security and quality of complex cyber-physical systems (C-CPS), such as production systems, power plants, and airplanes, in order to ascertain whether it is possible to protect engineering organizations against cyber threats and to ensure engineering project quality.
The book consists of three parts that logically build upon each other. Part I "Product Engineering of Complex Cyber-Physical Systems" discusses the structure and behavior of engineering organizations producing complex cyber-physical systems, providing insights into processes and engineering activities, and highlighting the requirements and border conditions for secure and high-quality engineering. Part II "Engineering Quality Improvement" addresses quality improvements with a focus on engineering data generation, exchange, aggregation, and use within an engineering organization, and the need for proper data modeling and engineering-result validation. Lastly, Part III "Engineering Security Improvement" considers security aspects concerning C-CPS engineering, including engineering organizations' security assessments and engineering data management, security concepts and technologies that may be leveraged to mitigate the manipulation of engineering data, as well as design and run-time aspects of secure complex cyber-physical systems.
The book is intended for several target groups: it enables computer scientists to identify research issues related to the development of new methods, architectures, and technologies for improving quality and security in multi-disciplinary engineering, pushing forward the current state of the art. It also allows researchers involved in the engineering of C-CPS to gain a better understanding of the challenges and requirements of multi-disciplinary engineering that will guide them in their future research and development activities. Lastly, it offers practicing engineers and managers with engineering backgrounds insights into the benefits and limitations of applicable methods, architectures, and technologies for selected use cases.
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.
