Analyzing Cyber Security Threats on Cyber-Physical Systems using Model-Based Systems Engineering

Kerzhner, Aleksandr A.; Pomerantz, Marc; Tan, Kymie; Campuzano, Brian; Dinkel, Kevin; Pecharich, Jeremy; Nguyen, Viet Khoi; Steele, R. J. C.; Johnson, Bryan

doi:10.2514/6.2015-4575

Cited by 6 publications

(8 citation statements)

References 5 publications

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“…Modern engineering demands an approach that allows engineers to deal with enormous complexity [Sillito 2014]. Model-based systems engineering (MBSE) has become well established in many industries as a leading means of addressing complexity in security critical systems [Kerzhner et al 2015] [Oates et al 2015] [Roudier & Apvrille 2015]. Automotive manufacturers, such as Daimler, have identified MBSE as a means of addressing the multiple strategic challenges that future mobility presents to the industry [Haasis 2016].…”

Section: Introductionmentioning

confidence: 99%

An Evaluation Ontology Applied to Connected Vehicle Security Assurance

Powley¹,

Perry

Holt

et al. 2019

INCOSE International Symp

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Connected vehicles have great potential to benefit society, yet create huge challenges. Vehicles, infrastructure and enterprise activities combine to form massively complex systems of systems (SoSs) that are vulnerable to cyber‐attacks. Security is ill‐defined, making it difficult to achieve a consistent, common understanding of security capabilities across the diverse industries that collaborate to develop connected vehicles. Rigorous evaluation is essential for developing strong security assurance cases. This paper contributes a model‐based systems engineering (MBSE) ontology that enables integrated evaluation processes in enterprise SoSs. The Evaluation Ontology allows diverse types of evaluation to be captured in a single integrated model. A connected vehicle security story is presented to demonstrate the value of the approach. Benefits include enhanced business intelligence that can provide a quantifiable, reportable level of confidence in security‐related processes and technologies. Further work will extend the ontology to develop a customisable suite of enabling patterns for security.

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Section: Introductionmentioning

confidence: 99%

An Evaluation Ontology Applied to Connected Vehicle Security Assurance

Powley¹,

Perry

Holt

et al. 2019

INCOSE International Symp

View full text Add to dashboard Cite

show abstract

“…While DoDAF is used to represent the system in this research, the final product is a complete model that can be used to evaluate the system for vulnerabilities and help decision makers determine the best use of security resources. This work adopts an approach that has some similarities to the work by Shin et al and Kerzhner et al . Shin et al developed a reference model for critical infrastructure protection using SysML.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Kerzhner et al adopt a different approach to modeling and analysis of cyberphysical systems. Their model and tool include physical elements, network, topology, software applications, system functions and usage scenarios . The algorithm follows the path that an attacker could take in exploiting vulnerabilities in a cyberphysical system and outputs if the attacker will be successful .…”

Section: Introductionmentioning

confidence: 99%

“…Their model and tool include physical elements, network, topology, software applications, system functions and usage scenarios . The algorithm follows the path that an attacker could take in exploiting vulnerabilities in a cyberphysical system and outputs if the attacker will be successful . The focus of Kerzhner et al is analysis of potential attacks based on an existing system model, but does not consider the analysis of the use of specific security resources based on cost or how the system meets regulatory requirements and policies.…”

Section: Introductionmentioning

confidence: 99%

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A model‐based systems engineering approach to critical infrastructure vulnerability assessment and decision analysis

Huff

Medal

Griendling

2018

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Securing critical infrastructure against attack presents significant challenges. As new infrastructure is built and existing infrastructure is maintained, a method to assess the vulnerabilities and support decision makers in determining the best use of security resources is needed. In response to this need, this research develops a methodology for performing vulnerability assessment and decision analysis of critical infrastructure using model-based systems engineering, an approach that has not been applied to this problem. The approach presented allows architects to link regulatory requirements, system architecture, subject matter expert opinion and attack vectors to a Department of Defense Architecture Framework (DoDAF)-based model that allows decision makers to evaluate system vulnerability and determine alternatives to securing their systems based on their budget constraints. The decision analysis is done using an integer linear program that is integrated with DoDAF to provide solutions for how to allocate scarce security resources. Securing an electrical substation is used as an illustrative case study to demonstrate the methodology.The case study shows that the method presented here can be used to answer key questions, for example, what security resources should a decision maker invest in based on their budget constraints?Results show that the modeling and analysis approach provides a means to effectively evaluate the infrastructure vulnerability and presents a set of security alternatives for decision makers to choose from, based on their vulnerabilities and budget profile. K E Y W O R D S critical infrastructure vulnerability assessment, integer linear program, system architecture, model-based systems engineering 114

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A model‐based systems engineering framework for quantum dot solar cells development

Karimaghaei

Cloutier

Khan

et al. 2023

Systems Engineering

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Currently, a wide range of newly designed devices are based on high-end quantum technologies. To successfully design a quantum system, it is necessary to appropriately address the increasing complexity which exists in the development procedure of the system. A suitable approach to deal with this problem is to employ systems engineering models and integrate them with domain engineering tools. The model-based systems engineering (MBSE) methodology is commonly used to analyze, design, manufacture, and test various complex systems. In this paper, the MBSE approach is chosen for the development of quantum dot solar cells as a typical quantum system and to deal with the complexity existing in this procedure. The analysis, manufacturing, and verification, validation, and testing (VV&T) for this system are described using SysML in Cameo Systems Modeler software to represent the role of models in this regard. Then a detailed design is performed in MATLAB and integrated with SysML to identify how changing various parameters during the system development process affects the overall system performance. This technique facilitates the communication between different engineering teams and helps to manage the complexity in the entire system lifecycle.

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Analyzing Cyber Security Threats on Cyber-Physical Systems using Model-Based Systems Engineering

Cited by 6 publications

References 5 publications

An Evaluation Ontology Applied to Connected Vehicle Security Assurance

An Evaluation Ontology Applied to Connected Vehicle Security Assurance

A model‐based systems engineering approach to critical infrastructure vulnerability assessment and decision analysis

A model‐based systems engineering framework for quantum dot solar cells development

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