Network anomaly detection using artificial neural networks

Network anomaly detection using artificial neural networks

This paper presents a method of identifying and classifying network anomalies using an artificial neural network for analyzing data gathered via Netflow protocol. Potential anomalies and their properties are described. We propose using a multilayer perceptron, trained with the backpropagation algori...

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Bibliographic Details
Main Authors: Sergey Andropov, Alexei Guirik, Mikhail Budko, Marina Budko
Format: Article
Language:English
Published: FRUCT 2017-04-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
anomaly detection
Netflow
neural networks
Online Access:https://fruct.org/publications/fruct20/files/And2.pdf

Internet

https://fruct.org/publications/fruct20/files/And2.pdf

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