Traffic Anomaly Detection

✍ Scribed by Antonio Cuadra-Sánchez, Javier Aracil

Publisher: ISTE Press - Elsevier
Year: 2015
Tongue: English
Leaves: 61
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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".

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

✦ Table of Contents

Content:
Front matter,Copyright,IntroductionEntitled to full text1 - Introduction to Traffic Anomaly Detection Methods, Pages 1-9
2 - Finding the Optimal Aggregation Period, Pages 11-27
3 - Comparative Analysis of Traffic Anomaly Detection Methods, Pages 29-45
4 - Proposal of a New Information-theory Technique, Pages 47-53
Bibliography, Pages 55-59
Index, Page 61

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