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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
FRUCT
2017-04-01
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Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
Subjects: | |
Online Access: | https://fruct.org/publications/fruct20/files/And2.pdf |