A system dynamics approach for assessing the impact of cyber attacks on critical infrastructures

Genge, Béla; Kiss, István Z.; Haller, Piroska

doi:10.1016/j.ijcip.2015.04.001

Cited by 103 publications

(44 citation statements)

References 26 publications

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“…Rehan et al [26] propose using a SD model to study the planning and management of water utilities infrastructure. Based on SD, Genge et al [27] design a methodology for assessing the impacts of cyber-attack by changing control variables, which is responsible for correct functioning of operational process in infrastructures.…”

Section: Approaches To Studymentioning

confidence: 99%

“…Screen display system (22) Sign system (23) Fire control system (24) Automatic train operation (25) Automatic train supervision (26) Automatic train protection (27) Track system (28) Building automation system (29) Low voltage network (30) Elevator equipment maintenance under the condition of limited security resource. In addition, it would be of great helpful to disrupt the connectivity among failures to prevent failures from spreading and propagating in MPN under special conditions.…”

Section: Degreementioning

confidence: 99%

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Complexity and Vulnerability Analysis of Critical Infrastructures: A Methodological Approach

Deng

Song

Zhou

et al. 2017

Mathematical Problems in Engineering

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Vulnerability analysis of network models has been widely adopted to explore the potential impacts of random disturbances, deliberate attacks, and natural disasters. However, almost all these models are based on a fixed topological structure, in which the physical properties of infrastructure components and their interrelationships are not well captured. In this paper, a new research framework is put forward to quantitatively explore and assess the complexity and vulnerability of critical infrastructure systems. Then, a case study is presented to prove the feasibility and validity of the proposed framework. After constructing metro physical network (MPN), Pajek is employed to analyze its corresponding topological properties, including degree, betweenness, average path length, network diameter, and clustering coefficient. With a comprehensive understanding of the complexity of MPN, it would be beneficial for metro system to restrain original near-miss or accidents and support decision-making in emergency situations. Moreover, through the analysis of two simulation protocols for system component failure, it is found that the MPN turned to be vulnerable under the condition that the high-degree nodes or high-betweenness edges are attacked. These findings will be conductive to offer recommendations and proposals for robust design, risk-based decision-making, and prioritization of risk reduction investment.

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Section: Approaches To Studymentioning

confidence: 99%

Section: Degreementioning

confidence: 99%

Complexity and Vulnerability Analysis of Critical Infrastructures: A Methodological Approach

Deng

Song

Zhou

et al. 2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…The framework proposed in this work adopts the Cyber Attack Impact Assessment (CAIA) methodology [11]. The methodology is inspired by the field of system dynamics [10] and its output may be multiplied by attack probabilities in order to compute risk values.…”

Section: Cyber Attack Impact Assessmentmentioning

confidence: 99%

A framework for designing resilient distributed intrusion detection systems for critical infrastructures

Genge

Haller

Kiss

2016

International Journal of Critical Infrastructure Protection

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“…Considering the CIP field there are a number of approaches that use System Dynamics (SD in the following). For instance, in [9] the SD approach is used to assess the impact of cyber-attacks on critical infrastructures. The methodology compares the behavior of a complex physical process considering two possible situations: the critical assets in its normal behavior and the critical assets under cyber-attack.…”

Section: System Dynamicsmentioning

confidence: 99%

Phenomenological Simulators of Critical Infrastructures

Tofani

D’Agostino

Martí

2016

Managing the Complexity of Critical Infrastructures

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The objective of this chapter is to introduce and discuss the main phenomenological approaches that have been used within the CI M&S area. Phenomenological models are used to analyse the organizational phenomena of the society considering its complexity (finance, mobility, health) and the interactions among its different components. Within CI MA&S, different modelling approaches have been proposed and used as, for example, physical simulators (e.g. power flow simulators for electrical networks). Physical simulators are used to predict the behaviour of the physical system (the technological network) under different conditions. As an example, electrical engineers use different kind of simulators during planning and managing of network activities for different purposes: (1) power flow simulators for the evaluation of electrical network configuration changes (that can be both deliberate changes or results from of the effects of accidents and/or attacks) and contingency analysis, (2) real time simulators for the design of protection devices and new controllers. For the telecommunication domain one mat resort to network traffic simulators as for example ns2/ns3 codes that allow the simulation of telecommunication networks (wired/wireless) at packet switching level and evaluate its performances. Single domains simulators can be federated to analyse the interactions among different domains. In contrast, phenomenological simulators use more abstract data and models for the interaction among the different components of the system. The chapter will describe the main characteristic of some of the main simulation approaches resulting from the ENEA and UBC efforts in the CIP and Complexity Science field.

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A system dynamics approach for assessing the impact of cyber attacks on critical infrastructures

Cited by 103 publications

References 26 publications

Complexity and Vulnerability Analysis of Critical Infrastructures: A Methodological Approach

Complexity and Vulnerability Analysis of Critical Infrastructures: A Methodological Approach

A framework for designing resilient distributed intrusion detection systems for critical infrastructures

Phenomenological Simulators of Critical Infrastructures

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