Challenging the Mean Time to Failure: Measuring Dependability as a Mean Failure Cost

Mili, Ali; Sheldon, Frederick T.

doi:10.1109/hicss.2009.107

2009 42nd Hawaii International Conference on System Sciences 2009

DOI: 10.1109/hicss.2009.107

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Challenging the Mean Time to Failure: Measuring Dependability as a Mean Failure Cost

Ali Mili

Frederick T. Sheldon

Abstract: Abstract

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Cited by 7 publications

References 10 publications

(4 reference statements)

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Addressing the need for independence in the CSE model

Abercrombie

Ferragut

Sheldon

et al. 2011

2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)

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Information system security risk, defined as the product of the monetary losses associated with security incidents and the probability that they occur, is a suitable decision criterion when considering different information system architectures. Risk assessment is the widely accepted process used to understand, quantify, and document the effects of undesirable events on organizational objectives so that risk management, continuity of operations planning, and contingency planning can be performed. One technique, the Cyberspace Security Econometrics System (CSES), is a methodology for estimating security costs to stakeholders as a function of possible risk postures. In earlier works, we presented a computational infrastructure that allows an analyst to estimate the security of a system in terms of the loss that each stakeholder stands to sustain, as a result of security breakdowns. Additional work has applied CSES to specific business cases. The current state-of-theart of CSES addresses independent events. In typical usage, analysts create matrices that capture their expert opinion, and then use those matrices to quantify costs to stakeholders. This expansion generalizes CSES to the common real-world case where events may be dependent.

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Addressing the need for independence in the CSE model

Abercrombie

Ferragut

Sheldon

et al. 2011

2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)

View full text Add to dashboard Cite

show abstract

Quantifying the impact of unavailability in cyber-physical environments

Aissa

Abercrombie

Sheldon

et al. 2014

2014 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)

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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 systems are the backbone of national critical cyber-physical infrastructures. Herein, we propose adapting the Mean Failure Cost (MFC) metric for quantifying the cost of unavailability. This new metric combines the classic availability formulation with MFC. The resulting metric, socalled Econometric Availability (EA), offers a computational basis to evaluate a system in terms of the gain/loss ($/hour of operation) that affects each stakeholder due to unavailability.

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An economic model of security threats for cloud computing systems

Rabai

Jouini

Nafati

et al. 2012

Proceedings Title: 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic (CyberSec)

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Challenging the Mean Time to Failure: Measuring Dependability as a Mean Failure Cost

Abstract: Abstract

Cited by 7 publications

References 10 publications

Addressing the need for independence in the CSE model

Addressing the need for independence in the CSE model

Quantifying the impact of unavailability in cyber-physical environments

An economic model of security threats for cloud computing systems

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