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Traffic Anomaly Detection
A new 'Typical Day Analysis' technique for Traffic Anomaly Detection
Antonio Cuadra-Sánchez (Author), Javier Aracil (Author)
9781785480126, Elsevier Science
Hardback, published 30 October 2015
70 pages
22.9 x 15.1 x 1.5 cm, 0.21 kg
"...their focus is on the theoretical aspects of determining anomalous traffic...it’s bound to be of interest to those developing security solutions." --Network Security
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".
1. Theoretical anomaly detection methods. Set of algorithms proposed for this analysis: the most used SCC (CUSUM), the two main tests of goodness-of-fit and Mutual Information.2. Finding the optimal aggregation period for a time series of Internet traffic3. Comparative analysis of traffic anomaly detection methods4. Proposal of a new information-theory based technique (typical day analysis)5. Conclusions
Subject Areas: Computer networking & communications [UT], Computer security [UR], Technical design [TBD]
