Network Traffic Monitor and Analysis for anomalies detection and auto scaling infrastructure
DDoS Detection using various ML models(Decision tree, Random Forest, Support Vector Machine(SVM), KNN, Neural Network, Gradient Boosting tree)
End-to-end machine learning pipeline for detecting DoS and DDoS attacks using network traffic analysis. Combines advanced preprocessing, feature engineering, and ensemble stacking models to achieve high accuracy on both benchmark datasets and real-time captured traffic.
Sentinel AI - AI-Driven DDoS Detection System for 5G Networks
FEDGuard, a Federated Learning system that is decentralized and distributed, enabled to aid in the detection of DDoS attacks.
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