TY - GEN
T1 - Quantifying the impact of unavailability in cyber-physical environments
AU - Ben Aissa, Anis
AU - Abercrombie, Robert K.
AU - Sheldon, Frederick T.
AU - Mili, Ali
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/16
Y1 - 2014/1/16
N2 - 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 ($/hour of operation) that affects each stakeholder due to unavailability.
AB - The Supervisory Control and Data Acquisition (SCADA) system discussed in this work manages a distributed control network for the Tunisian Electric & Gas Utility. The network is dispersed over a large geographic area that monitors and controls the flow of electricity/gas from both remote and centralized locations. The availability of the SCADA system in this context is critical to ensuring the uninterrupted delivery of energy, including safety, security, continuity of operations and revenue. Such SCADA systems are the backbone of national critical cyber-physical infrastructures. Herein, we propose adapting the Mean Failure Cost (MFC) metric for quantifying the cost of unavailability. This new metric combines the classic availability formulation with MFC. The resulting metric, so-called Econometric Availability (EA), offers a computational basis to evaluate a system in terms of the gain/loss ($/hour of operation) that affects each stakeholder due to unavailability.
KW - Availability
KW - Dependability
KW - Security measures
KW - Security requirements for control systems
KW - Threats
KW - Vulnerabilities and Risk
UR - http://www.scopus.com/inward/record.url?scp=84946688873&partnerID=8YFLogxK
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U2 - 10.1109/CICYBS.2014.7013364
DO - 10.1109/CICYBS.2014.7013364
M3 - Conference contribution
AN - SCOPUS:84946688873
T3 - IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings
BT - IEEE SSCI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Symposium on Computational Intelligence in Cyber Security, CICS 2014
Y2 - 9 December 2014 through 12 December 2014
ER -