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Tag Archives: Anomaly detection
new conference paper “Low-Rate, Flow-Level Periodicity Detection” at Global Internet 2011
The paper “Low-Rate, Flow-Level Periodicity Detection”, by Genevieve Bartlett, John Heidemann, and Christos Papadopoulos is being presented at IEEE Global Internet 2011 in Shanghai, China this week. The full text is available at http://www.isi.edu/~johnh/PAPERS/Bartlett11a.pdf. The abstract summarizes the work: As … Continue reading
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Tagged Anomaly detection, conference, Global Internet, lander, madcat, network datasets, network traffic, papers, periodic traffic, predict, security
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New journal paper “Parametric Methods for Anomaly Detection in Aggregate Traffic” to appear in TON
The paper “Parametric Methods for Anomaly Detection in Aggregate Traffic” was accepted for publication in ACM/IEEE Transactions on Networking (available at http://www.isi.edu/~johnh/PAPERS/Thatte10a.html). From the abstract: This paper develops parametric methods to detect network anomalies using only aggregate traffic statistics, in … Continue reading
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Tagged Anomaly detection, journal, madcat, papers, parametric model, security, Transactions on Networking
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New conference paper “Improved Internet Traffic Analysis via Optimized Sampling”
The paper “Improved Internet Traffic Analysis via Optimized Sampling” (available at PDF Format) was accepted to ICASSP 2010. The focus of this paper is on the best down-sampling methods to use when measuring internet traffic in order preserve signal information … Continue reading
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Tagged Anomaly detection, measurement systems, packet trace collection, papers
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New tech report “Analysis of Internet Measurement Systems for Optimized Anomaly Detection System Design”
A new tech report has been posted to the Arxiv database at http://arxiv.org/abs/0907.5233. This paper shows the effect of a software based measurement system on the timing of the measurements obtained. Additionally this paper develops a period signal detection method … Continue reading
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Tagged Anomaly detection, measurement systems, packet trace collection, papers
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new tech report “Parametric Methods for Anomaly Detection in Aggregate Traffic”
We just posted a tech report “Parametric Methods for Anomaly Detection in Aggregate Traffic” at <ftp://ftp.isi.edu/isi-pubs/tr-663.pdf>. This paper represents quite a bit of work looking at how to apply parametric detection as part of the NSF-sponsored MADCAT project. From the … Continue reading
Updates about research by the ANT group (Analysis of Internet Traffic)