Network Anomaly Detection Using Machine Learning Techniques
While traditional network security methods have been proven useful until now, the flexibility of machine learning techniques makes them a solid candidate in the current scene of our networks. In this paper, we assess how well the latter are capable of detecting security threats in a corporative netw...
Main Authors: | Julio J. Estévez-Pereira, Diego Fernández, Francisco J. Novoa |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
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Series: | Proceedings |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-3900/54/1/8 |
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