Traffic Anomaly Detection

Nonfiction, Computers, Networking & Communications, Computer Security, General Computing
Cover of the book Traffic Anomaly Detection by Antonio Cuadra-Sánchez, Javier Aracil, Elsevier Science
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Author: Antonio Cuadra-Sánchez, Javier Aracil ISBN: 9780081008072
Publisher: Elsevier Science Publication: October 31, 2015
Imprint: ISTE Press - Elsevier Language: English
Author: Antonio Cuadra-Sánchez, Javier Aracil
ISBN: 9780081008072
Publisher: Elsevier Science
Publication: October 31, 2015
Imprint: ISTE Press - Elsevier
Language: English

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".

  • A new information-theory based technique for traffic anomaly detection (typical day analysis)
  • Introductory chapters to anomaly detection methods including control charts, tests of goodness-of-fit Mutual Information
  • Contains comparative analysis of traffic anomaly detection methods
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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