2014 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) 2014
DOI: 10.1109/cicybs.2014.7013364
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Quantifying the impact of unavailability in cyber-physical environments

Abstract: Abstract-The Supervisory Control and Data Acquisition (SCADA) system discussed in this work manages a distributed control network for the Tunisian Electric & Gas Utility. The network is dispersed over a large geographic area that monitors and controls the flow of electricity/gas from both remote and centralized locations. The availability of the SCADA system in this context is critical to ensuring the uninterrupted delivery of energy, including safety, security, continuity of operations and revenue. Such SCADA… Show more

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Cited by 4 publications
(4 citation statements)
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“…The third solution becomes more and more popular, it tries to build dedicated dependability models with more powerful formal languages, and the languages should support to model the dynamic behavior, i.e., high level dynamic formal language [ 111 ] (such as DEPICT [ 112 ] and Architecture Analysis & Design Language (AADL) [ 113 ]). To quantify the impact of unavailability of Supervisory Control And Data Acquisition (SCADA) systems, a mathematical method combined with mean failure cost (MFC) metric and the classic availability formulation is proposed [ 114 ]. A new set of solutions based on undirected graph is proposed to verify the topology verification and locate the failures in Software-Defined Networks (SDN) [ 115 ].…”
Section: Guarantee the Dependability Of The Design With Model Basementioning
confidence: 99%
“…The third solution becomes more and more popular, it tries to build dedicated dependability models with more powerful formal languages, and the languages should support to model the dynamic behavior, i.e., high level dynamic formal language [ 111 ] (such as DEPICT [ 112 ] and Architecture Analysis & Design Language (AADL) [ 113 ]). To quantify the impact of unavailability of Supervisory Control And Data Acquisition (SCADA) systems, a mathematical method combined with mean failure cost (MFC) metric and the classic availability formulation is proposed [ 114 ]. A new set of solutions based on undirected graph is proposed to verify the topology verification and locate the failures in Software-Defined Networks (SDN) [ 115 ].…”
Section: Guarantee the Dependability Of The Design With Model Basementioning
confidence: 99%
“…In [35], the concept of Mean Failure Cost (MFC) was first introduced. The concept was refined through a series of applications [21,36,37] and has been applied to several domains which include mission assurance [38,39], failure impact analysis in Advanced Metering Infrastructure (AMI) [40,41], risk assessment [42,43], game theoretic simulation [40,44], cybersecurity modeling in the cloud [45], and SCADA environments [46,47]. This value-based metric (MFC), when applied quantifies the security of a computing system by the statistical mean of the random variable that represents for each stakeholder, the amount of loss that results from security threats and system vulnerabilities.…”
Section: Mean Failure Cost (Mfc) As a Measure Of Securitymentioning
confidence: 99%
“…Quantifying Security: The STEG Case StudyHerein we assessed a full-scale enterprise SCADA system within the domain of an electric power utility. We studied the case of the Tunisian Company of Electricity and Gas (STEG: Socit Tunisienne de l'Electricit et du Gaz)[47].…”
mentioning
confidence: 99%
“…To quantify the impact of unavailability of SCADA system, a mathematical method which combined with mean failure cost (MFC) metric and the classic availability formulation is proposed [202]. A new set of solutions based on undirected graph is proposed to verify the topology verification and locate the failure in Software Defined Networks (SDN) [203].…”
Section: The Formal Vandv For Dependable Self-managing Cpsmentioning
confidence: 99%