University of Cambridge > > Microsoft Research Cambridge, public talks > Anomaly Detection in the Field

Anomaly Detection in the Field

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.

This event may be recorded and made available internally or externally via Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

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: - Dealing with huge quantities of data: the explosive growth of the traffic poses several problems when applying techniques 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. -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 analysis) to pre-filter such seasonal components will be discussed, highlighting the improvements introduced in the system. -Dealing with distributed environment: highly distributed, multi-domains environments pose several constraints to the application of any traffic monitoring techniques (e.g., privacy concerns). We will discuss how to deal with them, so as to respect the legislation, still being able to effectively perform anomaly detection.

This talk is part of the Microsoft Research Cambridge, public talks series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2023, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity