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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Veröffentlicht in:	2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) S. 1 - 6
Hauptverfasser:	Akkepalli, Srinivas, Sagar, K
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 16.05.2024
Schlagworte:	Bi-LSTM CNN Computational modeling Computer crime Deep learning NSL KDD Recurrent neural networks RNN Statistical analysis Telecommunication traffic Threat assessment
Online-Zugang:	Volltext
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