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Dettagli Pubblicazione
Autori:Davide Cerotti
Daniele Codetta Raiteri
Giovanna Dondossola
Lavinia Egidi
Giuliana Franceschinis
Luigi Portinale
Area Scientifica:Uncertain Reasoning
Probabilistic Graphical Models
Computer Security
Dependability and Reliability
Titolo:Analysis and Detection of Cyber Attack Processes targeting Smart Grids
Apparso su:Innovative Smart Grid Technologies Europe
Editore:IEEE
Anno:2019
Tipo Pubblicazione:Paper on Proceedings International Conference
URL:https://ieeexplore.ieee.org/document/8905716
Sommario:This paper proposes an approach based on Bayesian Networks to support cyber security analysts in improving the cyber-security posture of the smart grid. We build a system model that exploits real world context information from both Information and Operational Technology environments in the smart grid, and we use it to demonstrate sample predictive and diagnostic analyses. The innovative contribution of this work is in the methodology capability of capturing the many dependencies involved in the assessment of security threats, and of supporting the security analysts in planning defense and detection mechanisms for energy digital infrastructures.