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Demo: Closed-Loop Security Orchestration in the Telco Cloud for Moving Target Defense


Soussi, Wissem; Christopoulou, Maria; Xilouris, George; de Oca, Edgardo Montes; Lefebvre, Vincent; Gür, Gürkan; Stiller, Burkhard (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, Miami, FL, USA, 8 May 2023 - 12 May 2023. Institute of Electrical and Electronics Engineers, 10154420.

Abstract

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 a 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).

Abstract

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 a 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).

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Artificial Intelligence
Physical Sciences > Computer Networks and Communications
Social Sciences & Humanities > Information Systems and Management
Physical Sciences > Safety, Risk, Reliability and Quality
Physical Sciences > Modeling and Simulation
Language:English
Event End Date:12 May 2023
Deposited On:14 Feb 2024 13:47
Last Modified:28 Feb 2024 12:31
Publisher:Institute of Electrical and Electronics Engineers
Series Name:IEEE/IFIP Network Operations and Management Symposium (NOMS)
ISSN:1542-1201
ISBN:978-1-6654-7716-1
Additional Information:© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
OA Status:Green
Publisher DOI:https://doi.org/10.1109/noms56928.2023.10154420
  • Content: Accepted Version
  • Language: English