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Traffic Anomaly Detection

Traffic Anomaly Detection

by Antonio Cuadra-Sanchez, Javier Aracil

Editeur : Elsevier Science
ISBN: 9781785480126
Broché: 70
Télécharger les formats: pdf, ePub, mobi, fb2
Taille du fichier: 2 Mb
Date d'affichage: 2020-11-24
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La description:

This book presents an overview of traffic anomaly detection analysis,allowing youto monitor security aspects of multimedia services. The author'sapproach 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 bookpresents 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". A new information-theory based technique for traffic anomaly detection (typical day analysis) Introductory chapters to anomaly detection methods including control charts, tests of goodness-of-fit Mutual Information Contains comparative analysis of traffic anomaly detection methods