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
Call Number:Libro Electrónico
Main Authors: Cua-S�anchez, Antonio (Author), Aracil, Javier (Author)
Format: Electronic eBook
Language:Inglés
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.
D�etection du signal > M�ethodes statistiques.
D�etection du signal > Mod�eles math�ematiques.
Traitement du signal > M�ethodes statistiques.
Traitement du signal > Mod�eles math�ematiques.
R�eseaux d'ordinateurs.
TECHNOLOGY & ENGINEERING > Mechanical.
Computer networks
Signal detection > Mathematical models
Signal detection > Statistical methods
Signal processing > Mathematical models
Signal processing > Statistical methods
Online Access:Texto completo
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

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