A survey of feature selection in Internet traffic characterization

Mozo Velasco, Bonifacio Alberto y Zhu, Bo (2014). A survey of feature selection in Internet traffic characterization. En: "First International Workshop on Big Data Applications and Principles", 11/09/2014 - 12/09/2014, Madrid, España. ISBN 978-84-15302-94-0. pp. 69-88.

Descripción

Título: A survey of feature selection in Internet traffic characterization
Autor/es:
  • Mozo Velasco, Bonifacio Alberto
  • Zhu, Bo
Tipo de Documento: Ponencia en Congreso o Jornada (Lectura)
Título del Evento: First International Workshop on Big Data Applications and Principles
Fechas del Evento: 11/09/2014 - 12/09/2014
Lugar del Evento: Madrid, España
Título del Libro: First International Workshop on Big Data Applications and Principles : Proceedings
Fecha: Septiembre 2014
ISBN: 978-84-15302-94-0
Materias:
Palabras Clave Informales: Feature selection, Internet traffic characterization, big data
Escuela: E.T.S.I. de Sistemas Informáticos (UPM)
Departamento: Sistemas Informáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In the last decade, the research community has focused on new classification methods that rely on statistical characteristics of Internet traffic, instead of pre-viously popular port-number-based or payload-based methods, which are under even bigger constrictions. Some research works based on statistical characteristics generated large fea-ture sets of Internet traffic; however, nowadays it?s impossible to handle hun-dreds of features in big data scenarios, only leading to unacceptable processing time and misleading classification results due to redundant and correlative data. As a consequence, a feature selection procedure is essential in the process of Internet traffic characterization. In this paper a survey of feature selection methods is presented: feature selection frameworks are introduced, and differ-ent categories of methods are briefly explained and compared; several proposals on feature selection in Internet traffic characterization are shown; finally, future application of feature selection to a concrete project is proposed.

Más información

ID de Registro: 35325
Identificador DC: http://oa.upm.es/35325/
Identificador OAI: oai:oa.upm.es:35325
URL Oficial: http://ict-ontic.eu/bigdap14/bigdap14_PROCEEDINGS.pdf
Depositado por: Memoria Investigacion
Depositado el: 18 Mar 2016 20:23
Ultima Modificación: 18 Mar 2016 20:23
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