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Traffic anomaly detection /

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 con...

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Bibliographic Details
Main Authors: Cua-Sánchez, Antonio (Author), Aracil, Javier (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: London, UK : Kidlington, Oxford, UK : ISTE, Ltd. ; Elsevier, 2015.
Subjects:
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
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of 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