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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Bibliographic Details
Main Authors: Cua-Sánchez, Antonio (Author), Aracil, Javier (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: London, UK : Kidlington, Oxford, UK : ISTE, Ltd. ; Elsevier, 2015.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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."
Physical Description:1 online resource : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9780081008072
0081008074
178548012X
9781785480126