Memorias de investigación
Ponencias en congresos:
A Survey on feature selection and reduction for network traffic characterization
Año:2014
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
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.
Internacional
Si
Nombre congreso
First International Workshop on Big Data Applications and Principles
Tipo de participación
960
Lugar del congreso
Madrid, España
Revisores
Si
ISBN o ISSN
84-15302-94-0
DOI
Fecha inicio congreso
11/09/2014
Fecha fin congreso
12/09/2014
Desde la página
69
Hasta la página
90
Título de las actas
Proceedings First International Workshop on Big Data Applications and Principles
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Internet de Nueva Generación
  • Departamento: Sistemas Informáticos