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TRAFFIC ANOMALY DETECTION
Título:
TRAFFIC ANOMALY DETECTION
Subtítulo:
Autor:
CUADRA-SANCHEZ, A
Editorial:
ISTE PRESS
Año de edición:
2015
Materia
REDES DE ORDENADORES
ISBN:
978-1-78548-012-6
Páginas:
70
62,50 €

 

Sinopsis

Key Features

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

Description

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´.
Readership

Scientific and Engineering communities working on Anomaly detection in the context of Network Security. In particular, early researchers, post-docs and engineers with an interest in this field.



Introduction
1: Introduction to Traffic Anomaly Detection Methods
Abstract
1.1 Cumulative sum control charts (CUSUM)
1.2 Tests of goodness-of-fit
1.3 Mutual information (MI)
2: Finding the Optimal Aggregation Period
Abstract
2.1 Introduction
2.2 State of the art
2.3 Macroscopic observation of traffic
2.4 Average-day analysis
2.5 Conclusion
3: Comparative Analysis of Traffic Anomaly Detection Methods
Abstract
3.1 Introduction
3.2 State of the art
3.3 Average-day preliminary analysis
3.4 Proposed change point detection algorithms
3.5 Behavior of the analyzed algorithms
3.6 Conclusion
4: Proposal of a New Information-theory Technique
Abstract
4.1 Introduction
4.2 Related work
4.3 Analysis of traffic anomaly detection methods applied to typical day profile
4.4 Conclusions
4.5 Acknowledgments
Bibliography
Index