Traffic Anomaly Detection

Cuadra-Sánchez, Antonio/ Aracil, Javier

ISTE Press Ltd - Elsevier Inc（2015/10発売）

• 製本 Hardcover:ハードカバー版／ページ数 70 p.
• 言語 ENG
• 商品コード 9781785480126
• DDC分類 621.382

Full Description

Traffic Anomaly Detection 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".

Contents

1. Theoretical anomaly detection methods. Set of algorithms proposed for this analysis: the most used SCC (CUSUM), the two main tests of goodness-of-fit and Mutual Information.2. Finding the optimal aggregation period for a time series of Internet traffic3. Comparative analysis of traffic anomaly detection methods4. Proposal of a new information-theory based technique (typical day analysis)5. Conclusions