An Imbalanced Generative Adversarial Network-Based Approach for Network Intrusion Detection in an Imbalanced Dataset

In modern networks, a Network Intrusion Detection System (NIDS) is a critical security device for detecting unauthorized activity. The categorization effectiveness for minority classes is limited by the imbalanced class issues connected with the dataset. We propose an Imbalanced Generative Adversari...

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Principais autores:	Yamarthi Narasimha Rao, Kunda Suresh Babu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-01-01
Serija:	Sensors
Teme:	intrusion detection class imbalance deep learning algorithms imbalanced generative adversarial network (IGAN) LeNet 5 LSTM
Online dostop:	https://www.mdpi.com/1424-8220/23/1/550
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