Detecting workload-based and instantiation-based economic denial of sustainability on 5G environments

Jorge Maestre Vidal, Marco Antonio Sotelo Monge, Luis Javier García Villalba

Producción científica: Capítulo del libro/informe/acta de congresoArticulo (Contribución a conferencia)revisión exhaustiva

2 Citas (Scopus)

Resumen

This paper reviews the Economic Denial of Sustainability (EDoS) problem in emerging network scenarios. The performed research studied them in context of adaptive approaches grounded on self-organizing networks (SON) and Network Function Virtualization (NFV). In particular, two novel threats were reviewed in depth: Workload-based EDoS (W-EDoS) and Instantiation-based EDoS (I-EDoS). With the aim to contribute to their mitigation a security architecture with network-based intrusion detection capabilities is proposed. This architecture implements machine learning techniques, network behaviour prediction, adaptive thresholding methods, and productivity-based clustering for detecting entropy-based anomalies based on the observed workload (W-EDoS) or suspicious variations of the productivity observed at the virtual instances (I-EDoS). A detailed experimentation has been conducted considering different calibration parameters under different network scenarios, on which the security architecture has been assessed. The results have proven good accuracy levels, hence demonstrating the proposal effectiveness.

Idioma originalInglés
Título de la publicación alojadaARES 2018 - 13th International Conference on Availability, Reliability and Security
EditorialAssociation for Computing Machinery
ISBN (versión digital)9781450364485
DOI
EstadoPublicada - 27 ago. 2018
Publicado de forma externa
Evento13th International Conference on Availability, Reliability and Security, ARES 2018 - Hamburg, Alemania
Duración: 27 ago. 201830 ago. 2018

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia13th International Conference on Availability, Reliability and Security, ARES 2018
País/TerritorioAlemania
CiudadHamburg
Período27/08/1830/08/18

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