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Title: Quantifying the Impact of Unavailability in Cyber-Physical Environments

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.
 [1] ;  [2] ;  [3] ;  [4]
  1. Université de Tunis El Manar, Tunisia
  2. ORNL
  3. University of Memphis
  4. New Jersey Insitute of Technology
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Conference: 2014 IEEE Symposium Series on Computational Intelligence, Orlando, FL, USA, 20141209, 20141212
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
Work for Others (WFO)
Country of Publication:
United States
Availability; Security measures; Dependability; Security requirements for control systems; Threats; Vulnterabilites and Risk