Model-Driven Estimation of Distributed Vulnerability in Complex Railway Networks

Drago, Annarita; Marrone, S.; Mazzocca, Nicola; Tedesco, Annarita; Vittorini, Valeria

doi:10.1109/uic-atc.2013.78

Cited by 12 publications

(8 citation statements)

References 9 publications

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“…For example, vulnerability analysis focused methods look toward the success of a malicious cyber-attack against the modelled node. In contrast, risk-based approaches highlight the threat actors' actions that could affect the system through variables of probability, damage, and likelihood [27]. Both focuses are key to understanding the complex nature regarding SCI, which attributes can be heavily dissected to understand ToEd systems fully.…”

Section: Threat Modelling Cyber-physical Systemsmentioning

confidence: 99%

A Systematic Review of Smart City Infrastructure Threat Modelling Methodologies: A Bayesian Focused Review

2022

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Smart city infrastructure and the related theme of critical national infrastructure have attracted growing interest in recent years in academic literature, notably how cyber-security can be effectively applied within the environment, which involves using cyber-physical systems. These operate cross-domain and have massively improved functionality and complexity, especially in threat modelling cyber-security analysis—the disparity between current cyber-security proficiency and the requirements for an effective cyber-security systems implementation. Analysing risk across the entire analysed system can be associated with many different cyber security methods for overall cyber risk analysis or identifying vulnerability for individually modelled objects. One method for performing risk analysis proposed in the literature is by applying Bayesian-based threat modelling methodologies. This paper performs a systematic literature review of Bayesian networks and unique alternative methodologies for smart city infrastructure analysis and related critical national infrastructures. A comparative analysis of the different methodological approaches, considering the many intricacies, metrics, and methods behind them, with suggestions made for future research in the field of cyber-physical threat modelling for smart city infrastructure.

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Section: Threat Modelling Cyber-physical Systemsmentioning

confidence: 99%

A Systematic Review of Smart City Infrastructure Threat Modelling Methodologies: A Bayesian Focused Review

2022

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“…AADL and Modelica were used in [158,160], where both Modelica and AADL were transformed to each other. In [43], authors used Critical Infrastructure Protection -Vulnerability Analysis and Modeling (CIP VAM) UML profile to transform UML models to Bayesian Network (BN) models. In [105], the authors transformed UML models to Distributed Embedded Real-time Compact Specification (DERCS) models with using GenERTiCA.…”

Section: System Designmentioning

confidence: 99%

“…It refers to the public infrastructures and valuable properties. Applications grouped under this category cover smart grids [61,97,142,32,152,75,15,16], Irrigation Networks [139], railway networks [43,42], water distribution systems [64].…”

Section: Targeted Cps Application Domainsmentioning

confidence: 99%

A Systematic Literature Review on Model-driven Engineering for Cyber-Physical Systems

Mohamed¹,

Kardaş²,

Challenger³

2021

Preprint

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This technical report presents a Systematic Literature Review (SLR) study that focuses on identifying and classifying the recent research practices pertaining to CPS development through MDE approaches. The study evaluates 140 research papers published during 2010-2018. Accordingly, a comprehensive analysis of various MDE approaches used in the development life-cycle of CPS is presented. Furthermore, the study identifies the research gaps and areas that need more investigation. The contribution helps researchers and practitioners to get an overall understanding of the research trends and existing challenges for further research/development.

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“…In this Section, a M2M generating a BN model from an AT S is shown: other approaches generating BNs in the field of vulnerability evaluation are present in literature [3].…”

Section: Transforming Attack Trees Into Bayesian Networkmentioning

confidence: 99%

Exploiting Bayesian Networks for the Analysis of Combined Attack Trees

Gribaudo

Iacono

Marrone

2015

Electronic Notes in Theoretical Computer Science

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The growing need to find proper countermeasures able to protect critical infrastructures from threats has addressed the definition of quantitative methodologies for risk assessment. One of the most difficult aspects in this topic is the evaluation of the effects of attacks. Attacks Trees represent one of the most used formalisms in the modeling of attack scenarios: notwithstanding some extensions have been proposed to enrich the expressiveness of the original formalism, some effort should be spent on their analyzability. This paper defines a transformational approach that translates Attack Trees into Bayesian Networks. The proposed approach can cope with different Attack Trees extensions; moreover, it allows the quantitative evaluation of combined attacks modelled as a set of Attack Trees.

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Model-Driven Estimation of Distributed Vulnerability in Complex Railway Networks

Cited by 12 publications

References 9 publications

A Systematic Review of Smart City Infrastructure Threat Modelling Methodologies: A Bayesian Focused Review

A Systematic Review of Smart City Infrastructure Threat Modelling Methodologies: A Bayesian Focused Review

A Systematic Literature Review on Model-driven Engineering for Cyber-Physical Systems

Exploiting Bayesian Networks for the Analysis of Combined Attack Trees

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