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Attack Scenario Modeling for Smart Grids Assessment through Simulation

Tundis, Andrea ; Egert, Rolf ; Mühlhäuser, Max (2017)
Attack Scenario Modeling for Smart Grids Assessment through Simulation.
12th International Conference on Availability, Reliability and Security (ARES 2017). Reggio Calabria, Italy (August 29 - September 01, 2017)
doi: 10.1145/3098954.3098966
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

<div>Smart Grids (SGs) are Critical Infrastructures</div> <div>(CI), which are responsible for controlling and maintaining</div> <div>the distribution of electricity. To manage this task, modern</div> <div>SGs integrate an Information and Communication Infrastructure</div> <div>(ICT) alongside the electrical power grid. Aside</div> <div>from the benefits derived from the increasing control and</div> <div>management capabilities offered by the ICT, unfortunately</div> <div>the introduction of this cyber layer provides an attractive</div> <div>attack surface for hackers. As a consequence, security</div> <div>becomes a fundamental prerequisite to be fulfilled. In this</div> <div>context, the adoption of Systems Engineering (SE) tools</div> <div>combined with Modeling and Simulation (M&amp;S) techniques</div> <div>represent a promising solution to support the evaluation</div> <div>process of a SG during early design stages. In particular,</div> <div>the paper investigates on the identification, modeling and</div> <div>evaluation of attacks in the SG environment, by proposing a</div> <div>model for representing attack scenarios as a combination of</div> <div>attack types, attack schema and their temporal occurrence.</div> <div>Simulation techniques are exploited to enable the execution</div> <div>of such attack combinations in the SG domain. Specifically,</div> <div>a simulator, which allows to assess the SG behaviour to</div> <div>identify possible flaws and provide preventive actions before</div> <div>its realization, is developed on the basis of the proposed</div> <div>model and exemplified through a case study.</div>

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2017
Autor(en): Tundis, Andrea ; Egert, Rolf ; Mühlhäuser, Max
Art des Eintrags: Bibliographie
Titel: Attack Scenario Modeling for Smart Grids Assessment through Simulation
Sprache: Englisch
Publikationsjahr: August 2017
Verlag: ACM ICPS
Veranstaltungstitel: 12th International Conference on Availability, Reliability and Security (ARES 2017)
Veranstaltungsort: Reggio Calabria, Italy
Veranstaltungsdatum: August 29 - September 01, 2017
DOI: 10.1145/3098954.3098966
Kurzbeschreibung (Abstract):

<div>Smart Grids (SGs) are Critical Infrastructures</div> <div>(CI), which are responsible for controlling and maintaining</div> <div>the distribution of electricity. To manage this task, modern</div> <div>SGs integrate an Information and Communication Infrastructure</div> <div>(ICT) alongside the electrical power grid. Aside</div> <div>from the benefits derived from the increasing control and</div> <div>management capabilities offered by the ICT, unfortunately</div> <div>the introduction of this cyber layer provides an attractive</div> <div>attack surface for hackers. As a consequence, security</div> <div>becomes a fundamental prerequisite to be fulfilled. In this</div> <div>context, the adoption of Systems Engineering (SE) tools</div> <div>combined with Modeling and Simulation (M&amp;S) techniques</div> <div>represent a promising solution to support the evaluation</div> <div>process of a SG during early design stages. In particular,</div> <div>the paper investigates on the identification, modeling and</div> <div>evaluation of attacks in the SG environment, by proposing a</div> <div>model for representing attack scenarios as a combination of</div> <div>attack types, attack schema and their temporal occurrence.</div> <div>Simulation techniques are exploited to enable the execution</div> <div>of such attack combinations in the SG domain. Specifically,</div> <div>a simulator, which allows to assess the SG behaviour to</div> <div>identify possible flaws and provide preventive actions before</div> <div>its realization, is developed on the basis of the proposed</div> <div>model and exemplified through a case study.</div>

Freie Schlagworte: SPIN: Smart Protection in Infrastructures and Networks
ID-Nummer: TUD-CS-2017-0192
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
Hinterlegungsdatum: 21 Jul 2017 13:42
Letzte Änderung: 14 Jun 2021 06:14
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