Hidden Bibliographic Details
| Other authors / contributors: | Aracil, Javier, author.
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| ISBN: | 9780081008072
0081008074
9781785480126
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| Notes: | Includes bibliographical references and index.
Online resource; title from PDF title page (EBSCO, viewed November 5, 2015).
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| Summary: | 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 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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| Other form: | Print version: Cuadra-Sánchez, Antonio. Traffic Anomaly Detection. Kent : Elsevier Science, ©2015 9781785480126
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