Managing Heterogeneity in Model-Based Systems Engineering of Cyber-Physical Systems

2015 ◽  
Author(s):  
Bert Van Acker ◽  
Joachim Denil ◽  
Hans Vangheluwe ◽  
Paul De Meulenaere
Keyword(s):  
Systems Engineering ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Model Based ◽  
Model Based Systems Engineering

APPROACH FOR IDENTIFYING COMPONENTS WORTHY OF PROTECTION OF CYBER-PHYSICAL SYSTEMS (CPS) BASED ON A SYSTEM MODEL

2015 ◽  
Vol 76 (4) ◽  
Author(s):  
Daniel Kliewe ◽  
Lydia Kaiser ◽  
Roman Dumitrescu ◽  
Jürgen Gausemeier
Keyword(s):  
Systems Engineering ◽  
Cyber Physical Systems ◽  
System Model ◽  
Crucial Importance ◽  
Physical Systems ◽  
System Protection ◽  
Model Based ◽  
First Results ◽  
Model Based Systems Engineering

This paper will improve the system protection for Cyber-Physical Systems (CPS) by the use of the specification technique CONSENS. Therefore an approach is demonstrated and validated. The possibilities how the system protection can be integrated in Model-Based Systems Engineering (MBSE) and especially in CONSENS are shown and discussed. First results how the different views on the system can be used to identify components worth protecting of CPS are presented. The identified components are of crucial importance in order to ensure the protection of CPS.

scholarly journals Collaborative Model-based Systems Engineering for Cyber-Physical Systems, with a Building Automation Case Study

2016 ◽  
Vol 26 (1) ◽  
pp. 817-832 ◽  
Author(s):  
John Fitzgerald ◽  
Carl Gamble ◽  
Richard Payne ◽  
Peter Gorm Larsen ◽  
Stylianos Basagiannis ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Cyber Physical Systems ◽  
Building Automation ◽  
Collaborative Model ◽  
Physical Systems ◽  
Model Based ◽  
Model Based Systems Engineering

scholarly journals METHOD FOR 3D-ENVIRONMENT DRIVEN DOMAIN KNOWLEDGE ELICITATION AND SYSTEM MODEL GENERATION

2020 ◽  
Vol 1 ◽  
pp. 197-206
Author(s):  
S. Japs ◽  
L. Kaiser ◽  
A. Kharatyan
Keyword(s):  
Systems Engineering ◽  
Automotive Industry ◽  
Domain Knowledge ◽  
Cyber Physical Systems ◽  
System Model ◽  
Physical Systems ◽  
3D Environment ◽  
Close Cooperation ◽  
Model Based Systems Engineering ◽  
Domain Independent

AbstractThe development of cyber-physical systems requires close cooperation between stakeholders from different disciplines. Model-based systems engineering support this by the design of a system model. Non-identified domain knowledge by the stakeholders is a challenge when creating the system model. The CONSENS 3D-Modeling Method supports the domain-independent elicitation of domain knowledge using a 3D environment and enables the derivation of a SysML system model. We applyed the method by implementing a prototype, called 3D Engineer, to an application example from the automotive industry.

scholarly journals A Preliminary Design-Phase Security Methodology for Cyber–Physical Systems

Systems ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 21 ◽  
Author(s):  
Bryan Carter ◽  
Stephen Adams ◽  
Georgios Bakirtzis ◽  
Tim Sherburne ◽  
Peter Beling ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Cyber Security ◽  
Cyber Physical Systems ◽  
Security Requirements ◽  
Complex Nature ◽  
Theoretic Model ◽  
Physical Systems ◽  
Model Based ◽  
The Face ◽  
Comparison Of The Results

Despite “cyber” being in the name, cyber–physical systems possess unique characteristics that limit the applicability and suitability of traditional cybersecurity techniques and strategies. Furthermore, vulnerabilities to cyber–physical systems can have significant safety implications. The physical and cyber interactions inherent in these systems require that cyber vulnerabilities not only be defended against or prevented, but that the system also be resilient in the face of successful attacks. Given the complex nature of cyber–physical systems, the identification and evaluation of appropriate defense and resiliency strategies must be handled in a targeted and systematic manner. Specifically, what resiliency strategies are appropriate for a given system, where, and which should be implemented given time and/or budget constraints? This paper presents two methodologies: (1) the cyber security requirements methodology and (2) a systems-theoretic, model-based methodology for identifying and prioritizing appropriate resiliency strategies for implementation in a given system and mission. This methodology is demonstrated using a case study based on a hypothetical weapon system. An assessment and comparison of the results from the two methodologies suggest that the techniques presented in this paper can augment and enhance existing systems engineering approaches with model-based evidence.

scholarly journals An Integrated Framework for Traceability and Impact Analysis in Requirements Verification of Cyber–Physical Systems

Electronics ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 983
Author(s):  
Alachew Mengist ◽  
Lena Buffoni ◽  
Adrian Pop
Keyword(s):  
Systems Engineering ◽  
Software Maintenance ◽  
Product Life Cycle ◽  
Impact Analysis ◽  
Cyber Physical Systems ◽  
Component Reuse ◽  
Physical Systems ◽  
Model Based ◽  
Software Maintenance And Evolution ◽  
Requirements Verification

In the field of model-based design of Cyber–Physical Systems (CPS), seamless traceability of the process, from requirements to models to simulation results, is becoming increasingly important. It can be used to support several activities such as variant handling, impact analysis, component reuse, software maintenance and evolution, verification, and validation. Despite the fact that the relevance of traceability in the model-based design of CPSs is well known, current tools that support traceability management are inadequate in practice. The lack of comprehensive whole-lifecycle systems engineering support in a single tool is one of the main causes of such ineffective traceability management, where traceability relationships between artifacts are still manually generated and maintained. This paper aims at presenting an approach and a prototype for automatically generating and maintaining the appropriate traceability links between heterogeneous artifacts ranging from requirement models, through design models, down to simulation and verification results throughout the product life cycle in model-based design of CPSs. A use case study is presented to validate and illustrate the proposed method and prototype.

Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit/Information Quality in Product Engineering: Model-Based Systems Engineering in Explicit Consideration of Uncertainty

Konstruktion ◽  
2020 ◽  
Vol 72 (11-12) ◽  
pp. 76-83
Author(s):  
Jens Pottebaum ◽  
Iris Gräßler
Keyword(s):  
Systems Engineering ◽  
Information Quality ◽  
Engineering Model ◽  
Model Based ◽  
Product Engineering ◽  
Explicit Consideration ◽  
Model Based Systems Engineering

Inhalt Unscharfe Anforderungen, verschiedene Lösungs-alternativen oder eingeschränkt gültige Simulationsmodelle sind Beispiele für inhärente Unsicherheit in der Produktentwicklung. Im vorliegenden Beitrag wird ein modellbasierter Ansatz vorgestellt, der das industriell etablierte Denken in Sicherheitsfaktoren um qualitative Aspekte ergänzt. Modelle der Informationsqualität helfen, die Unsicherheit von Ent- wicklungsartefakten beschreibend zu charakterisieren. Mittels semantischer Technologien wird Unsicherheit so wirklich handhabbar – nicht im Sinne einer Berechnung, sondern im Sinne einer qualitativen Interpretation. Dadurch entsteht wertvolles Wissen für die iterative Anforderungsanalyse, die Bewertung alternativer System-Architekturen oder für die Rekonfiguration von Simulationen.

Teaching cyber physical systems engineering

2017 ◽  
Author(s):  
Juho Makio ◽  
Elena Makio-Marusik ◽  
Eugeny Yablochnikov ◽  
Valery Arckhipov ◽  
Kirill Kipriianov
Keyword(s):  
Systems Engineering ◽  
Cyber Physical Systems ◽  
Physical Systems
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