Optimization of Intrusion Detection Using Likely Point PSO and Enhanced LSTM-RNN Hybrid Technique in Communication Networks

The intrusion detection system (IDS) is considered an essential sector in maintaining communication network security and has been desirably adopted by all network administrators. Several existing methods have been proposed for early intrusion detection systems. However, they experience drawbacks tha...

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Veröffentlicht in:	IEEE access 2023, Vol.11, p.9469-9482
Hauptverfasser:	Donkol, Ahmed Abd El-Baset, Hafez, Ali G., Hussein, Aziza I., Mabrook, M. Mourad
Format:	Artikel
Sprache:	eng
Schlagworte:	and RNN Artificial neural networks Classification Classification algorithms Communication networks Datasets Deep learning Feature extraction IDS Intrusion detection Intrusion detection systems KDD TEST 21~dataset KDD TEST PLUS LSTM network security Optimization Particle swarm optimization Recurrent neural networks Security Training
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