To protect control into critical infrastructures against single component-dependency attacks or failures, we analyse the importance of any given dependency in maintaining controllability with a minimum set of inputs. Since people use critical, redundant and ordinary categories to clarify how an edge maintains controllability of linear time-invariant(LTI) dynamical networks, according to graph-based models of infrastructures and the minimum input theorem, we firstly use a Erdős-Rényi random digraph with a precomputed maximum matching to model some LTI and controllable infrastructures by a minimum set of inputs. We then efficiently analyse any given arc’s category before and during single-arc removals, as a way to further confirm how related dependency keeps control into infrastructures. After running our label operations with linear time and space complexity, any edge-category analysis can be thus executed in O(1) time in both cases.
CITATION STYLE
Zhang, S., & Wolthusen, S. D. (2019). Efficient analysis to protect control into critical infrastructures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11260 LNCS, pp. 226–229). Springer Verlag. https://doi.org/10.1007/978-3-030-05849-4_18
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