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Author Cua-Sánchez, Antonio, author.

Title Traffic anomaly detection / Antonio Cua-Sánchez, Javier Aracil.

Publication Info. London, UK : ISTE, Ltd. ; Kidlington, Oxford, UK : Elsevier, 2015.

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Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Bibliography Includes bibliographical references and index.
Note Online resource; title from PDF title page (EBSCO, viewed November 5, 2015).
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."
Contents Front Cover -- Traffic Anomaly Detection -- Copyright -- Contents -- Introduction
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
2.3. Macroscopic Observation of Traffic 2.4. Average-Day Analysis -- 2.5. Conclusion -- Chapter 3: Comparative Analysis of Traffic Anomaly Detection Methods
3.1. Introduction 3.2. State of the Art -- 3.3. Average-Day Preliminary Analysis -- 3.4. Proposed Change Point Detection Algorithms
Subject Signal detection -- Statistical methods.
Signal detection -- Mathematical models.
Signal processing -- Statistical methods.
Signal processing -- Mathematical models.
Computer networks.
Détection du signal -- Méthodes statistiques.
Détection du signal -- Modèles mathématiques.
Traitement du signal -- Méthodes statistiques.
Traitement du signal -- Modèles mathématiques.
Réseaux d'ordinateurs.
TECHNOLOGY & ENGINEERING -- Mechanical.
Computer networks
Signal detection -- Mathematical models
Signal detection -- Statistical methods
Signal processing -- Mathematical models
Signal processing -- Statistical methods
Added Author Aracil, Javier, author.
Other Form: Print version: Cuadra-Sánchez, Antonio. Traffic Anomaly Detection. Kent : Elsevier Science, ©2015 9781785480126
ISBN 9780081008072 (electronic bk.)
0081008074 (electronic bk.)
9781785480126
Standard No. AU@ 000056747823
AU@ 000066135590
AU@ 000068134128
CHNEW 001013221
DEBBG BV043626290
DEBSZ 482467924
GBVCP 879391146

 
    
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