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A Stochastic Assessment of Attacks based on Continuous-Time Markov Chains

Sadu, Abhinav (Corresponding author)^RWTH* ; Stevic, Marija (Corresponding author)^RWTH* ; Wirtz, Nikolaus (Corresponding author)^RWTH* ; Monti, Antonello (Corresponding author)^RWTH*

In
IEEE ENERGYCon'2020 : 6th IEEE International Energy Conference : 28th September-1st October, 2020, hybrid (virtual - physical) conference, Tunisia / hosted by: IEEE, IEEE Region 8, IEEE Africa, IEEE Tunisia Section, Seiten/Artikel-Nr: 11-16

2020 & 2021

Konferenz/Event:6. IEEE International Energy Conference , Gammarth , Tunisia , ENERGYCon , 2020-09-28 - 2020-10-01

ImpressumPiscataway, NJ : IEEE

Umfang11-16

ISBN978-1-7281-2956-3, 978-1-7281-2957-0, 978-1-7281-6204-1

Zweitveröffentlicht auf dem Publikationsserver der RWTH Aachen University 2021. - Datenträger: USB-Stick. - Hybride Konferenz

Online
DOI: 10.18154/RWTH-2020-12021
DOI: 10.1109/ENERGYCon48941.2020.9236600
10.1109/ENERGYCon48941.2020.9236600
URL: https://publications.rwth-aachen.de/record/808380/files/808380.pdf

Einrichtungen

1. Lehrstuhl für Automation of Complex Power Systems (616310)
2. E.ON Energy Research Center (080052)

Inhaltliche Beschreibung (Schlagwörter)
Attack Trees (frei) ; Continuous-Time Markov Chains (frei) ; Statistical performance evaluation (frei)

OpenAccess:
PDF

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print, data medium

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85097188214
WOS Core Collection: WOS:000644437800003

Interne Identnummern
RWTH-2020-12021
Datensatz-ID: 808380

Beteiligte Länder
Germany