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XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder

Oluwadamilare Harazeem Abdulganiyu, Taha Ait Tchakoucht, Yakub Kayode Saheed, Hilali Alaoui Ahmed

2024The Journal of Supercomputing75 citationsDOI

Topics & Concepts

AutoencoderComputer scienceClass (philosophy)IntrusionIntrusion detection systemArtificial intelligencePattern recognition (psychology)Artificial neural networkGeologyGeochemistryNetwork Security and Intrusion DetectionInternet Traffic Analysis and Secure E-votingAnomaly Detection Techniques and Applications
XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder | Litcius