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Advancing Cyber Resilience Analysis with Performance-Based Metrics from Infrastructure Assessments

Advancing Cyber Resilience Analysis with Performance-Based Metrics from Infrastructure Assessments

Eric D. Vugrin, Jennifer Turgeon
Copyright: © 2013 |Volume: 4 |Issue: 1 |Pages: 22
ISSN: 1947-3036|EISSN: 1947-3044|EISBN13: 9781466631113|DOI: 10.4018/jsse.2013010105
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MLA

Vugrin, Eric D., and Jennifer Turgeon. "Advancing Cyber Resilience Analysis with Performance-Based Metrics from Infrastructure Assessments." IJSSE vol.4, no.1 2013: pp.75-96. http://doi.org/10.4018/jsse.2013010105

APA

Vugrin, E. D. & Turgeon, J. (2013). Advancing Cyber Resilience Analysis with Performance-Based Metrics from Infrastructure Assessments. International Journal of Secure Software Engineering (IJSSE), 4(1), 75-96. http://doi.org/10.4018/jsse.2013010105

Chicago

Vugrin, Eric D., and Jennifer Turgeon. "Advancing Cyber Resilience Analysis with Performance-Based Metrics from Infrastructure Assessments," International Journal of Secure Software Engineering (IJSSE) 4, no.1: 75-96. http://doi.org/10.4018/jsse.2013010105

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Abstract

Cyber resilience is becoming increasingly recognized as a critical component of comprehensive cybersecurity practices. Current cyber resilience assessment approaches are primarily qualitative methods, making validation of their resilience analyses and enhancement recommendations difficult, if not impossible. The evolution of infrastructure resilience assessment methods has paralleled that of their cyber counterparts. However, the development of performance-based assessment methods has shown promise for overcoming the validation challenge for infrastructure systems. This paper describes a hybrid infrastructure resilience assessment approach that combines both qualitative analysis techniques with performance-based metrics. The qualitative component enables identification of system features that limit resilience, and the quantitative metrics can be used to evaluate and confirm the effectiveness of proposed mitigation options. The authors propose adaptation of this methodology for cyber resilience analysis. A case study is presented to demonstrate how the approach could be applied to a hypothetical system.

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