Skip to Main content Skip to Navigation
Conference papers

Probabilistic Event Graph to Model Safety and Security for Diagnosis Purposes

Abstract : Diagnosing accidental and malicious events in an industrial control system requires an event model with specific capacities. Most models are dedicated to either safety or security but rarely both. And the latter are developed for objectives other than diagnosis and therefore unfit for this task. In this paper, we propose an event model considering both safety and security events, usable in real-time, with a probabilistic measure of on-going and future events. This model is able to replace alerts in the context of more global scenarios, including with reinforcements or conflicts between safety and security. The model is then used to provide an analysis of some of the security and safety events in the Taum Sauk Hydroelectric Power Station.
Document type :
Conference papers
Complete list of metadata

Cited literature [19 references]  Display  Hide  Download

https://hal.inria.fr/hal-01954422
Contributor : Edwin Bourget <>
Submitted on : Wednesday, March 6, 2019 - 2:28:08 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:39 PM
Long-term archiving on: : Friday, June 7, 2019 - 7:41:10 PM

File

Bourget_DBSec.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Collections

Citation

Edwin Bourget, Frédéric Cuppens, Nora Cuppens-Bouhlahia, Samuel Dubus, Simon Foley, et al.. Probabilistic Event Graph to Model Safety and Security for Diagnosis Purposes. 32th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2018, Bergamo, Italy. pp.38-47, ⟨10.1007/978-3-319-95729-6_3⟩. ⟨hal-01954422v2⟩

Share

Metrics

Record views

82

Files downloads

10