Print Email Facebook Twitter Combining Bayesian Networks and Fishbone Diagrams to Distinguish between Intentional Attacks and Accidental Technical Failures Title Combining Bayesian Networks and Fishbone Diagrams to Distinguish between Intentional Attacks and Accidental Technical Failures Author Chockalingam, S. (TU Delft Safety and Security Science) Pieters, W. (TU Delft Safety and Security Science) Teixeira, Andre M. H. (Uppsala University) Khakzad, N. (TU Delft Safety and Security Science) van Gelder, P.H.A.J.M. (TU Delft Safety and Security Science) Contributor Pym, David (editor) Fila, Barbara (editor) Cybenko, George (editor) Date 2019 Abstract Because of modern societies' dependence on industrial control systems, adequate response to system failures is essential. In order to take appropriate measures, it is crucial for operators to be able to distinguish between intentional attacks and accidental technical failures. However, adequate decision support for this matter is lacking. In this paper, we use Bayesian Networks (BNs) to distinguish between intentional attacks and accidental technical failures, based on contributory factors and observations (or test results). To facilitate knowledge elicitation, we use extended fishbone diagrams for discussions with experts, and then translate those into the BN formalism. We demonstrate the methodology using an example in a case study from the water management domain. Subject Bayesian NetworkFishbone DiagramIntentional AttackSafetySecurityTechnical Failure To reference this document use: http://resolver.tudelft.nl/uuid:1b8d2b3e-ad4f-4608-a1ff-0b6fc3ac93f5 DOI https://doi.org/10.1007/978-3-030-15465-3_3 Publisher Springer ISBN 978-3-030-15464-6 Source Graphical Models for Security - 5th International Workshop, GraMSec 2018, Revised Selected Papers: Graphical Models for Security Event The Fifth International Workshop on Graphical Models for Security, 2018-07-08, Mathematical Institute, University of Oxford, Oxford, United Kingdom Series Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 11086 LNCS Part of collection Institutional Repository Document type conference paper Rights © 2019 S. Chockalingam, W. Pieters, Andre M. H. Teixeira, N. Khakzad, P.H.A.J.M. van Gelder Files PDF Combining_Bayesian_Networ ... ilures.pdf 944.08 KB Close viewer /islandora/object/uuid:1b8d2b3e-ad4f-4608-a1ff-0b6fc3ac93f5/datastream/OBJ/view