Epistemic Games with Conditional Believes for modelling security threats defence in Cloud Computing systems
Authors:
- Łukasz Gaża,
- Agnieszka Jakóbik
Abstract
We presented Epistemic Games with Conditional Believes model for automating security decisions in Cloud Computing systems. The model assumes attackdefence scenarios. The game stages model Cloud provider and Cloud attacker rivalry to maximise their payoffs. The paper presents the methodology for including the believes about opponent’s rationality. The presented model allows considering the attack on Cloud system in a realistic way. The proposed solution has been tested by the experimental analysis on Cloud Sim simulator. Presented model enables finding strategies for the Cloud provider to protect assets from cybersecurity attacks.
- Record ID
- CUT372c375ead8d4c3f94a9728197018dea
- Publication categories
- ; ;
- Author
- Other language title versions
- Epistemic Games with Conditional Believes for modelling security threats defence in Cloud Computing systems
- Pages
- 285-290
- Other elements of collation
- schem.; tab.; Bibliografia (na s.) - 290; Bibliografia (liczba pozycji) - 23; Oznaczenie streszczenia - Abstr.
- Substantive notes
- DOI: 10.7148/2022 (całość)
- Punktacja MNiSW/MEiN (rozdział) - 5
- Book
- Hameed Ibrahim A., Ibrahim A. Hameed Hasan Agus, Agus Hasan Alaliyat Saleh Abdel-Afou Saleh Abdel-Afou Alaliyat (eds.): ECMS 2022 : proceedings of the 36th ECMS International Conference on Modelling and Simulation, May 30th – June 3rd, 2022 Ålesund, Norway, European Conference for Modelling and Simulation, no. Vol. 36, Iss. 1, 2022, Sbr.-Dudweiler, European Council for Modelling and Simulation, ISBN 978-3-937436-77-7 (Print)
- Keywords in English
- Epistemic Games, cloud, security
- URL
- https://www.scs-europe.net/dlib/dl-index.htm Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 5
- Score source
- publisherList
- Score
- Additional fields
- Indeksowana w: Scopus, CORE
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT372c375ead8d4c3f94a9728197018dea/
- URN
urn:pkr-prod:CUT372c375ead8d4c3f94a9728197018dea
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.