KISS methodologies for network management and anomaly detection
Fecha
2018Versión
Acceso abierto / Sarbide irekia
Tipo
Contribución a congreso / Biltzarrerako ekarpena
Versión
Versión aceptada / Onetsi den bertsioa
Impacto
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10.23919/SOFTCOM.2018.8555785
Resumen
Current networks are increasingly growing in size, complexity and the amount of monitoring data that they produce, which requires complex data analysis pipelines to handle data collection, centralization and analysis tasks. Literature approaches, include the use of custom agents to harvest information and large data centralization systems based on clusters to achieve horizontal scalability, which ...
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Current networks are increasingly growing in size, complexity and the amount of monitoring data that they produce, which requires complex data analysis pipelines to handle data collection, centralization and analysis tasks. Literature approaches, include the use of custom agents to harvest information and large data centralization systems based on clusters to achieve horizontal scalability, which are expensive and difficult to deploy in real scenarios. In this paper we propose and evaluate a series of methodologies, deployed in real industrial production environments, for network management, from the architecture design to the visualization system as well as for the anomaly detection methodologies, that intend to squeeze the vertical resources and overcome the difficulties of data collection and centralization. [--]
Materias
Anomaly detection,
Network management,
Computer network security,
KISS methodologies,
Ccomplex data analysis pipelines,
Horizontal scalability
Editor
IEEE
Publicado en
2018 26th International Conference on Software, Telecommunications and Computer Networks, Softcom 2018, pp. 181-186
Notas
Trabajo presentado al 26th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2018. Croacia, 13-15 de septiembre de 2018
Departamento
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza Saila
Versión del editor
Entidades Financiadoras
The authors would like to thank MINECO, received through grant TEC2015-69417 (TRAFICA).