A Global Fusion Classifier for Cyber Threat Detection built on specialized models for Malware, Phishing, DDoS, and IoT attacks. Features include real-time detection, visual dashboards, attack simulation with causal sampling, and ensemble learning for high accuracy across diverse threats.

Flow-a-gorithm is an algorithm-centric framework for detecting anomalies in network traffic through graph-based modeling and subgraph analysis. This project combines subgraph isomorphism, incremental detection algorithms, and a Graph Convolutional Network (GCN) to identify suspicious patterns in dynamic network flow data.

Flow-a-gorithm is a project designed to detect anomalies in network traffic using graph-based techniques. It processes data to identify potential security threats, offering a clear solution for network monitoring. 🛡️💻