Abstract
This paper proposes a Dynamic Risk Assessment (DRA) methodology applicable to the so-called High Impact Low Probability (HILP) security risks which, by their very nature, are difficult to identify or occur only infrequently. DRA is based on the processing of Weak Signals (WSs) to protect critical infrastructures and soft targets against HILP security risks before they materialise. DRA allows to rank WSs according to the reliability and credibility of the sources and to correlate them to obtain threat precursors. Experimental results have shown that DRA is effective and helps suppressing irrelevant alerts.
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Notes
- 1.
A WS can be defined as “A seemingly random or disconnected piece of information that at first appears to be background noise but can be recognized as part of a significant pattern by viewing it through a different frame or connecting it with other pieces of information” [14].
- 2.
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Acknowledgements
This paper is based on the work carried out in the LETSCROWD project that has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement number 740466.
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Dambra, C., Graf, C., Arias, J., Gralewski, A. (2020). A Dynamic Risk Assessment (DRA) Methodology for High Impact Low Probability (HILP) Security Risks. In: Nadjm-Tehrani, S. (eds) Critical Information Infrastructures Security. CRITIS 2019. Lecture Notes in Computer Science(), vol 11777. Springer, Cham. https://doi.org/10.1007/978-3-030-37670-3_15
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DOI: https://doi.org/10.1007/978-3-030-37670-3_15
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