Detecting Unbalanced Network Traffic Intrusions With Deep Learning

The growth of cyber threats demands a robust and adaptive intrusion detection system (IDS) capable of effectively recognizing malicious activities from network traffic. However, the existing imbalance of class in network data possesses a significant challenge to traditional IDS. To overcome these ch...

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書誌詳細

主要な著者:	S. Pavithra, K. Venkata Vikas
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2024-01-01
シリーズ:	IEEE Access
主題:	Cyber threats cyber security deep learning (DL) ensemble learning intrusion detection network security
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10538232/
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