Applying long short-term memory recurrent neural networks to intrusion detection
We claim that modelling network traffic as a time series with a supervised learning approach, using known genuine and malicious behaviour, improves intrusion detection. To substantiate this, we trained long short-term memory (LSTM) recurrent neural networks with the training data provided by the DAR...
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Format: | Article |
Language: | English |
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South African Institute of Computer Scientists and Information Technologists
2015-07-01
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Series: | South African Computer Journal |
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Online Access: | http://sacj.cs.uct.ac.za/index.php/sacj/article/view/248 |