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Defending Critical Infrastructure: Insights from Recommender Systems

In: The Security of Critical Infrastructures

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  • Sébastien Gillard

    (Military Academy at the Swiss Federal Institute of Technology Zurich)

Abstract

Research on recommender systems is used to propose an automated defense system for critical infrastructures that does not require information about the attacker; moreover, it can handle very short forewarning times. Data from past attacks are continuously recorded and analyzed in order to develop more effective responses. In contrast to approaches that rely on robustness and hence require large investments, the system becomes the more effective the more often it is attacked.

Suggested Citation

  • Sébastien Gillard, 2020. "Defending Critical Infrastructure: Insights from Recommender Systems," International Series in Operations Research & Management Science, in: Marcus Matthias Keupp (ed.), The Security of Critical Infrastructures, pages 193-206, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-41826-7_12
    DOI: 10.1007/978-3-030-41826-7_12
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