This book presents an overview of traffic anomaly detection analysis,Â allowing youÂ to monitor security aspects of multimedia services. The author'sÂ 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.Â This bookÂ presents the algorithms proposed specifically for this analysis and an empirical comparative analysis of those methods and settle a new information theory based technique,Â 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 methodsTo view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.
|Size: ||2.6 MB|
|Date published: || 2015|
|ISBN: ||2370007158195 (DRM-EPUB)|
|Read Aloud: ||not allowed|
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