Detecting Unbalanced Network Traffic Intrusions With Deep Learning

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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Bibliographic Details
Main Authors: S. Pavithra, K. Venkata Vikas
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Cyber threats
cyber security
deep learning (DL)
ensemble learning
intrusion detection
network security
Online Access:https://ieeexplore.ieee.org/document/10538232/
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https://ieeexplore.ieee.org/document/10538232/

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