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Link traffic - PowerPoint PPT Presentation


Mining Anomalies Using Traffic Feature Distributions

Mining Anomalies Using Traffic Feature Distributions

Mining Anomalies Using Traffic Feature Distributions. Anukool Lakhina, Mark Crovella (cs.bu) , Christophe Diot (Intel) SIGCOMM 2005. Reference. SIGCOMM 2004 – “Diagnosing Network-Wide Traffic Anomalies” SIGCOMM 2005 – “Mining Anomalies Using Traffic Feature Distributions” Authors:

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307 views • 29 slides



Toward Sophisticated Detection With Distributed Triggers

Toward Sophisticated Detection With Distributed Triggers

Toward Sophisticated Detection With Distributed Triggers. Ling Huang* Minos Garofalakis § Joe Hellerstein* Anthony Joseph* Nina Taft § *UC Berkeley § Intel Research. Outline. What is a distributed triggering system? Simple Example: State of the Art

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325 views • 20 slides


by: J. Cosmas

by: J. Cosmas

Creative Industries Business Aspects and Activities Network Planning of Future Internet to support 3D TV and Applications. by: J. Cosmas. Possible UK Optical Network. Population. >5M. >1M. > 500k. >100k. <100k. All. All. Reference Network. Applications.

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193 views • 10 slides


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