Quantifying the impact of unavailability in cyber-physical environments

Anis Ben Aissa, Robert K. Abercrombie, Frederick T. Sheldon, Ali Mili

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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, so-called 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.

Original languageEnglish (US)
Title of host publicationIEEE SSCI 2014
Subtitle of host publication2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479945221
DOIs
StatePublished - Jan 16 2014
Event2014 IEEE Symposium on Computational Intelligence in Cyber Security, CICS 2014 - Orlando, United States
Duration: Dec 9 2014Dec 12 2014

Publication series

NameIEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings

Other

Other2014 IEEE Symposium on Computational Intelligence in Cyber Security, CICS 2014
CountryUnited States
CityOrlando
Period12/9/1412/12/14

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Software

Keywords

  • Availability
  • Dependability
  • Security measures
  • Security requirements for control systems
  • Threats
  • Vulnerabilities and Risk

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