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SUMMARY:Anomaly Detection in the Field - Christian Callegari\, University 
 of Pisa
DTSTART:20131008T140000Z
DTEND:20131008T150000Z
UID:TALK47170@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION:The talk will focus on the challenges that arise when applying
  Statistical Network Anomaly Detection in the field. In more detail three 
 aspects will be discussed:\n- Dealing with huge quantities of data: the ex
 plosive growth of the traffic poses several problems when applying techniq
 ues that need to process the whole traffic. We will discuss pros and cons 
 of some data mining techniques (e.g.\, Sketch and Reversible Sketch) that 
 permits to analyze a data flow\, almost in real-time\, without storing all
  the data.\n-Dealing with traffic seasonality: seasonality of the traffic 
 poses several problems in the application of most of the anomaly detection
  techniques. Some of the most classical approaches (e.g.\, Wavelet analysi
 s) to pre-filter such seasonal components will be discussed\, highlighting
  the improvements introduced in the system.\n-Dealing with distributed env
 ironment: highly distributed\, multi-domains environments pose several con
 straints to the application of any traffic monitoring techniques (e.g.\, p
 rivacy concerns). We will discuss how to deal with them\, so as to respect
  the legislation\, still being able to effectively perform anomaly detecti
 on.
LOCATION:Auditorium\, Microsoft Research Ltd\, 21 Station Road\, Cambridge
 \, CB1 2FB
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