A number of methodologies and techniques have been proposed to integrate safety and security in risk assessment, but there is an ideological divide between component-centric and systems-theoretic approaches. In this paper, we propose a new hybrid method for Systems-Theoretic Likelihood and Severity Analysis (STLSA), which combines desirable characteristics from both schools of thought. Specifically, STLSA focuses on functional control actions in the system, including humans-in-the-loop, but incorporates semi-quantitative risk assessment based on existing industry practice. We demonstrate this new approach using the case study of train braking control.
CITATION STYLE
Temple, W. G., Wu, Y., Chen, B., & Kalbarczyk, Z. (2017). Systems-Theoretic Likelihood and Severity Analysis for Safety and Security Co-engineering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10598 LNCS, pp. 51–67). Springer Verlag. https://doi.org/10.1007/978-3-319-68499-4_4
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