Open access
2026
Deep Learning Models for Anomaly Detection in Autonomous Network Troubleshooting and Optimization: A Comparative Study
This work creates and tested six deep models to detect network anomalies through the NSL-KDD datasets, verifies the performance of the BiLSTM model for anomaly detection and verifies the performance of the BiLSTM model for anomaly detection.
C. Ugwunna, Joshua John, Abayomi-Alli Ayomide et al.
· Journal of Independent Studi... · 0 citations