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https://doi.org/10.21256/zhaw-28225| Publikationstyp: | Konferenz: Poster |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Demo: closed-loop security orchestration in the telco cloud for moving target defense |
| Autor/-in: | Soussi, Wissem Christopoulou, Maria Xilouris, George Oca, Edgardo Montes de Lefebvre, Vincent Gür, Gürkan Stiller, Burkhard |
| et. al: | No |
| DOI: | 10.1109/NOMS56928.2023.10154420 10.21256/zhaw-28225 |
| Tagungsband: | NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium |
| Angaben zur Konferenz: | 36th IEEE/IFIP Network Operations and Management Symposium (NOMS), Miami, USA, 8-12 May 2023 |
| Erscheinungsdatum: | Mai-2023 |
| Verlag / Hrsg. Institution: | IEEE |
| ISBN: | 978-1-6654-7716-1 |
| Sprache: | Englisch |
| Schlagwörter: | Moving target defense (MTD); Network security; Deep reinforcement learning (DRL); Markov decision process (MDP); Autonomous security management |
| Fachgebiet (DDC): | 004: Informatik |
| Zusammenfassung: | This work presents a Moving Target Defense (MTD) framework for the protection of network slices and virtual resources in a telco cloud environment. The preliminary implementation provides closed-loop security management of services with proactive MTD operations to reduce the success probability of attacks, and reactive MTD operations, empowered by a tampering detection and a traffic-based anomaly detection system. MTD strategies are adaptive and optimized with deep reinforcement learning (deep-RL) for balancing costs, security, and availability goals defined in a Multi-Objective Markov Decision Process (MOMDP). |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/28225 |
| Volltext Version: | Akzeptierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Informatik (InIT) |
| Publiziert im Rahmen des ZHAW-Projekts: | INtelligent Security and PervasIve tRust for 5G and Beyond (INSPIRE-5Gplus) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2023_Soussi-etal_Closed-loop-security-orchestration-telco-cloud_NOMS2023.pdf | Accepted Version | 510.81 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Soussi, W., Christopoulou, M., Xilouris, G., Oca, E. M. d., Lefebvre, V., Gür, G., & Stiller, B. (2023, May). Demo: closed-loop security orchestration in the telco cloud for moving target defense. NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. https://doi.org/10.1109/NOMS56928.2023.10154420
Soussi, W. et al. (2023) ‘Demo: closed-loop security orchestration in the telco cloud for moving target defense’, in NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE. Available at: https://doi.org/10.1109/NOMS56928.2023.10154420.
W. Soussi et al., “Demo: closed-loop security orchestration in the telco cloud for moving target defense,” in NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, May 2023. doi: 10.1109/NOMS56928.2023.10154420.
SOUSSI, Wissem, Maria CHRISTOPOULOU, George XILOURIS, Edgardo Montes de OCA, Vincent LEFEBVRE, Gürkan GÜR und Burkhard STILLER, 2023. Demo: closed-loop security orchestration in the telco cloud for moving target defense. In: NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. Conference poster. IEEE. Mai 2023. ISBN 978-1-6654-7716-1
Soussi, Wissem, Maria Christopoulou, George Xilouris, Edgardo Montes de Oca, Vincent Lefebvre, Gürkan Gür, and Burkhard Stiller. 2023. “Demo: Closed-Loop Security Orchestration in the Telco Cloud for Moving Target Defense.” Conference poster. In NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE. https://doi.org/10.1109/NOMS56928.2023.10154420.
Soussi, Wissem, et al. “Demo: Closed-Loop Security Orchestration in the Telco Cloud for Moving Target Defense.” NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, IEEE, 2023, https://doi.org/10.1109/NOMS56928.2023.10154420.
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