SVM-Based Anomaly Detection for Network Intrusion Systems: An Advanced Approach to Intrusion Prevention
Arihant Singhvi, Abhinav Nambiar, Pranav Menon, V G Narendra · 2025
This project develops an SVM-based IDS for anomaly detection, addressing limitations of signature-based methods in identifying new threats.Trained on labeled network traffic, it accurately distinguishes normal from anomalous patterns with minimal false positives.Key challenges like data quality, computational demands, and preprocessing complexity are tackled through careful data selection.The system is scalable, adaptive, and enhances network security by detecting emerging threats.