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DTSTART:20240310T030000
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DTSTART:20241103T010000
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DTSTAMP:20240922T003849Z
UID:47FF2A61-D8B4-41F6-A383-8060B60C7FA0
DTSTART;TZID=America/Los_Angeles:20240921T094500
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DESCRIPTION:Event re-scheduled from original date of 2024-Jun-15\n\nSpeaker
 : Ljiljana Trajkovic\, Ph.D.\, P.Eng.\, FIEEE\; Professor\, School of Engi
 neering Science\, Simon Fraser University\n\nIn this talk\, the speaker wi
 ll describe collection and analysis of data from various deployed communic
 ation networks and the Internet. We are interested in collections of traff
 ic data during reported anomalies such as worms\, viruses\, power outages\
 , and ransomware attacks. Modern machine learning techniques and tools use
 d to classify such anomalies are described and evaluated.\n\nRegistration 
 is optional\, but we want to know who to expect.\n10:00 AM P.D.T. Suggest 
 you log in at 9:45 AM (12:45 PM Montreal) to check connection and say hell
 o.\nAll IEEE members are welcome\, especially those Life Members that don&#39;
 t have a local Affinity Group.\n\nWe are looking for speakers for the rest
  of the year\, contact Carl Zanon &lt;sczanon@shaw.ca&gt; if interested.\n\nSpea
 ker(s): Ljiljana Trajkovic\n\nAgenda: \n9:45 AM Zoom opens\n10:00 AM Welco
 me and speaker introduction\n10:05 AM Speaker\n\nVirtual: https://events.v
 tools.ieee.org/m/423177
LOCATION:Virtual: https://events.vtools.ieee.org/m/423177
ORGANIZER:cguelke@telus.net
SEQUENCE:27
SUMMARY:Vancouver TALK 26: Data Mining and Machine Learning for Analysis of
  Network Traffic
URL;VALUE=URI:https://events.vtools.ieee.org/m/423177
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;font-size: 14pt\; font-family
 : Calibri\, sans-serif\; color: rgb(224\, 62\, 45)\;&quot;&gt;Event re-scheduled f
 rom original&amp;nbsp\; date of 2024-Jun-15&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=
 &quot;font-size: 14.0pt\; font-family: &#39;Calibri&#39;\,sans-serif\; mso-ascii-theme-
 font: minor-latin\; mso-hansi-theme-font: minor-latin\; mso-bidi-theme-fon
 t: minor-latin\; color: black\;&quot;&gt;Speaker:&amp;nbsp\; Ljiljana Trajkovic\, Ph.D
 .\, P.Eng.\, FIEEE\; Professor\, School of Engineering Science\, Simon Fra
 ser University&lt;br&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;In this talk\, the speaker will describe
  collection and analysis of data from various deployed communication netwo
 rks and the Internet. We are interested in collections of traffic data dur
 ing reported anomalies such as worms\, viruses\, power outages\, and ranso
 mware attacks. Modern machine learning techniques and tools used to classi
 fy such anomalies are described and evaluated.&lt;/p&gt;\n&lt;p class=&quot;western&quot;&gt;Reg
 istration is optional\, but we want to know who to expect.&lt;br&gt;&lt;strong&gt;10:0
 0 AM P.D.T. Suggest you log in at 9:45 AM (12:45 PM Montreal) to check con
 nection and say hello.&lt;br&gt;&lt;/strong&gt;All IEEE members are welcome\, especial
 ly those Life Members that don&#39;t have a local Affinity Group.&lt;strong&gt;&lt;br&gt;&lt;
 /strong&gt;&lt;/p&gt;\n&lt;p&gt;We are looking for speakers for the rest of the year\, co
 ntact Carl Zanon &amp;lt\;sczanon@shaw.ca&amp;gt\; if interested.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;A
 genda: &lt;br /&gt;&lt;p&gt;9:45 AM Zoom opens&lt;br&gt;10:00 AM Welcome and speaker introdu
 ction&lt;br&gt;10:05 AM Speaker&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
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