Anomaly-Based Network Intrusion Detection Using Hybrid CNN, Bi-LSTM Deep Learning Techniques

The network anomaly and threat detection are essential components of the cyber security field due to continually growing network traffic and the frequent emergence of new attack types. Deep learning (DL) has become increasingly important in anomaly detection in recent years, particularly in the fiel...

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Bibliographic Details

Published in:	2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) pp. 1 - 6
Main Authors:	Akkepalli, Srinivas, Sagar, K
Format:	Conference Proceeding
Language:	English
Published:	IEEE 16.05.2024
Subjects:	Bi-LSTM CNN Computational modeling Computer crime Deep learning NSL KDD Recurrent neural networks RNN Statistical analysis Telecommunication traffic Threat assessment
Online Access:	Get full text
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