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Traffic anomaly detection

Cua-Sánchez, Antonio,

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Traffic anomaly detection

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Traffic anomaly detection/ Antonio Cua-Sánchez, Javier Aracil.
作者:	Cua-Sánchez, Antonio,
其他作者:	Aracil, Javier,
出版者:	London, UK :ISTE, Ltd. ; : 2015.,
面頁冊數:	1 online resource :ill.
內容註:	Front Cover -- Traffic Anomaly Detection -- Copyright -- Contents -- Introduction
內容註:	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)
內容註:	Chapter 2: Finding the Optimal Aggregation Period 2.1. Introduction -- 2.2. State of the Art
內容註:	2.3. Macroscopic Observation of Traffic 2.4. Average-Day Analysis -- 2.5. Conclusion -- Chapter 3: Comparative Analysis of Traffic Anomaly Detection Methods
內容註:	3.1. Introduction 3.2. State of the Art -- 3.3. Average-Day Preliminary Analysis -- 3.4. Proposed Change Point Detection Algorithms
標題:	Signal detection - Statistical methods. -
電子資源:	https://www.sciencedirect.com/science/book/9781785480126
ISBN:	9780081008072 (electronic bk.)

Traffic anomaly detection
Cua-Sánchez, Antonio,

Traffic anomaly detection[electronic resource] /Antonio Cua-Sánchez, Javier Aracil. - London, UK :ISTE, Ltd. ;2015. - 1 online resource :ill.

Includes bibliographical references and index.

Front Cover -- Traffic Anomaly Detection -- Copyright -- Contents -- Introduction

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."

ISBN: 9780081008072 (electronic bk.)Subjects--Topical Terms:

3462812
Signal detection
--Statistical methods.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TK5102.5

Dewey Class. No.: 621.3822

Traffic anomaly detection
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505 0 $a Front Cover -- Traffic Anomaly Detection -- Copyright -- Contents -- Introduction
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505 8 $a Chapter 2: Finding the Optimal Aggregation Period 2.1. Introduction -- 2.2. State of the Art
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