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Outlier detection on network flow analysis

Abstract : It is important to be able to detect and classify malicious network traffic flows such as DDoS attacks from benign flows. Normally the task is performed by using supervised classification algorithms. In this paper we analyze the usage of outlier detection algorithms for the network traffic classification problem.
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https://hal.archives-ouvertes.fr/hal-01854006
Contributor : Quang Vinh Dang Connect in order to contact the contributor
Submitted on : Monday, August 6, 2018 - 10:55:11 AM
Last modification on : Friday, September 14, 2018 - 12:57:32 PM
Long-term archiving on: : Wednesday, November 7, 2018 - 2:07:09 PM

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  • HAL Id : hal-01854006, version 1
  • ARXIV : 1808.02024

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Quang-Vinh Dang. Outlier detection on network flow analysis. 2018. ⟨hal-01854006⟩

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