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giovedì, 6 agosto 2020

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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:Evidence-Based Analysis of Cyber Attacks to Security Monitored Distributed Energy Resources
Apparso su:Applied Sciences, vol. 10(14)
Editore:MDPI
Anno:2020
Tipo Pubblicazione:Paper on International Journal
URL:https://www.mdpi.com/2076-3417/10/14/4725
Sommario:This work proposes an approach based on dynamic Bayesian networks to support the cybersecurity analysis of network-based controllers in distributed energy plants. We built a system model that exploits real world context information from both information and operational technology environments in the energy infrastructure, and we use it to demonstrate the value of security evidence for time-driven predictive and diagnostic analyses. The innovative contribution of this work is in the methodology capability of capturing the causal and temporal dependencies involved in the assessment of security threats, and in the introduction of security analytics supporting the configuration of anomaly detection platforms for digital energy infrastructures.