BAGS: a tool to quantify smart grid resilience

• Autorzy: Wadhawan Yatin , Neuman Clifford

Identyfikatory

DOI

10.15439/2017F77

• Konferencja: Communication Papers of the 2017 Federated Conference on Computer Science and Information Systems
• Języki publikacji: EN

Abstrakty

EN

In this paper, we present the Bayesian Attack Graph for Smart Grid (BAGS) tool to quantify smart grid resilience in the presence of multiple cyber-physical attacks. BAGS takes system functions, network architecture, applications and a vulnerability report as input and generates three Bayesian Networks at three different levels of hierarchy. The top level network is called Functional Bayesian Network that defines how smart grid functions are connected. System engineers can select a particular function on a dashboard and view the Network Bayesian Network of that function at the second level. They can also choose a particular network component to see the list of vulnerabilities and the probability of associated compromise at the third level. System engineers can incorporate this functionality into their system and analyze the impact of any compromised component of the smart grid system on its resilience. Furthermore, BAGS helps to identify the failure paths in advance from one power grid function to another so that they can devise secure strategies and deploy resources effectively and efficiently.

Słowa kluczowe

EN

smart grid; Bayesian network; cyber security; cyber-physical security; resilience; industrial control system

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2017
• Tom: Vol. 13
• Strony: 323--332
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Wadhawan Yatin

• Department of Computer Science, University of Southern California, Los Angeles, USA

autor

Neuman Clifford

• Information Science Institute, University of Southern California Los Angeles, USA

Bibliografia

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