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<oembed><version>1.0</version><provider_name>ISTE Group</provider_name><provider_url>https://www.istegroup.com/en</provider_url><author_name>Marcio Marim</author_name><author_url>https://www.istegroup.com/en/profile/marcio-marim/</author_url><title>Traffic Anomaly Detection - ISTE Group</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="2o3L1n1gFH"&gt;&lt;a href="https://www.istegroup.com/en/book/traffic-anomaly-detection/"&gt;Traffic Anomaly Detection&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.istegroup.com/en/book/traffic-anomaly-detection/embed/#?secret=2o3L1n1gFH" width="600" height="338" title="&#x201C;Traffic Anomaly Detection&#x201D; &#x2014; ISTE Group" data-secret="2o3L1n1gFH" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><thumbnail_url>https://www.istegroup.com/wp-content/uploads/2018/01/doc_kgtztkkkboaz.jpg</thumbnail_url><thumbnail_width>981</thumbnail_width><thumbnail_height>1500</thumbnail_height><description>The authors present an overview of traffic anomaly detection analysis, which allows us to monitor security aspects of multimedia services, as well as the algorithms proposed for this analysis. In addition, an empirical comparative analysis of those methods is made and a new information-theory based technique called &#x201C;typical day analysis&#x201D; is determined. The first chapter [&hellip;]</description></oembed>
