The goal of this project is to develop an AI-powered Network Intrusion Detection System (NIDS) capable of identifying malicious network trafic and cyber-attacks in real time. By leveraging machine learning techniques, the system will classify trafic as normal or suspicious based on historical data.

No description available

The goal of this project is to develop an AI-powered Network Intrusion Detection System (NIDS) capable of identifying malicious network trafic and cyber-attacks in real time. By leveraging machine learning techniques, the system will classify traffic as normal or suspicious based on historical data.

This project is about the DDOS attack detection using AI and ML which is silently involves in Cyber Security domain too.

No description available

No description available

AI-powered Network Intrusion Detection System (NIDS) that uses Machine Learning to detect and classify malicious network traffic in real time. It processes network data, extracts features, trains models (Decision Tree, Random Forest, SVM), detects anomalies, and generates alerts for potential cyber threats.