Understanding Mining Anomalies In Network Wide Flow Data

If you are looking for information about Mining Anomalies In Network Wide Flow Data, you have come to the right place. Speakers: Mark Crovella, Boston University. Christophe Diot, Thomson Paris Research. Anukool Lakhina, Boston University ...

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Detailed Analysis of Mining Anomalies In Network Wide Flow Data

NANOG 35 Hacking conference #hacking, #hackers, #infosec, #opsec, #IT, #security. Author: Timothy La Fond, Computer Science Department, Purdue University Abstract: An important application in Anomalies or outliers in data mining refer to data points that significantly differ from the rest of the dataset, often ...

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