Chapter 1: Introduction to Traffic Anomaly Detection Methods 1.1. Cumulative Sum Control Charts (CUSUM) -- 1.2. Tests of Goodness-of-fit -- 1.3. Mutual Information (MI)
Chapter 2: Finding the Optimal Aggregation Period 2.1. Introduction -- 2.2. State of the Art
3.1. Introduction 3.2. State of the Art -- 3.3. Average-Day Preliminary Analysis -- 3.4. Proposed Change Point Detection Algorithms
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."
Bibliography
Includes bibliographical references and index
Notes
Online resource; title from PDF title page (EBSCO, viewed November 5, 2015)
