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New tech report “Identifying and Characterizing Anycast in the Domain Name System”
We just published a new technical report “Identifying and Characterizing Anycast in the Domain Name System” (available at ftp://ftp.isi.edu/isi-pubs/tr-671.pdf) . From the abstract: Since its first appearance, IP anycast has become essential for critical network services such as the Domain … Continue reading
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 “Correlating Spam Activity with IP Address Characteristics” at Global Internet
The paper “Correlating Spam Activity with IP Address Characteristics” (available at PDF Format) was accepted and presented at Global Internet 2010. The focus of this paper is to quantify the collateral damage (legitimate mail servers incorrectly blacklisted) caused by the … Continue reading
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Tagged conference, Global Internet, Internet address usage, papers, security
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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)