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Traffic Anomaly Detection

  • 1st Edition - December 16, 2015
  • Latest edition
  • Authors: Antonio Cuadra-Sánchez, Javier Aracil
  • Language: English
  • Hardback ISBN:
    9 7 8 - 1 - 7 8 5 4 8 - 0 1 2 - 6
  • eBook ISBN:
    9 7 8 - 0 - 0 8 - 1 0 0 8 0 7 - 2

Traffic Anomaly Detection presents an overview of traffic anomaly detection analysis, allowing you to monitor security aspects of multimedia services. The author's approach i… Read more

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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".

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