Traffic anomaly detection /

This book presents an overview of traffic anomaly detection analysis, allowing you to monitor security aspects of multimedia services. The author's approach is based on the analysis of time aggregation adjacent periods of the traffic. As traffic varies throughout the day, it is essential to con...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Cua-S�anchez, Antonio (Autor), Aracil, Javier (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, UK : Kidlington, Oxford, UK : ISTE, Ltd. ; Elsevier, 2015.
Temas:
Signal detection > Statistical methods.
Signal detection > Mathematical models.
Signal processing > Statistical methods.
Signal processing > Mathematical models.
Computer networks.
D�etection du signal > M�ethodes statistiques.
D�etection du signal > Mod�eles math�ematiques.
Traitement du signal > M�ethodes statistiques.
Traitement du signal > Mod�eles math�ematiques.
R�eseaux d'ordinateurs.
TECHNOLOGY & ENGINEERING > Mechanical.
Computer networks
Signal detection > Mathematical models
Signal detection > Statistical methods
Signal processing > Mathematical models
Signal processing > Statistical methods
Acceso en línea:Texto completo
Descripción
Sumario:This book presents an overview of traffic anomaly detection analysis, allowing you to monitor security aspects of multimedia services. The author's approach is based on the analysis of time aggregation adjacent periods of the traffic. As traffic varies throughout the day, it is essential to consider the concrete traffic period in which the anomaly occurs. This book presents the algorithms proposed specifically for this analysis and an empirical comparative analysis of those methods and settle a new information theory based technique, named "typical day analysis."
Descripción Física:1 online resource : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9780081008072
0081008074

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