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This project focuses on developing a system to detect and mitigate Distributed Denial of Service (DDoS) attacks using the Random Forest machine learning algorithm. By analyzing network traffic patterns, the system can identify potential DDoS attacks in real-time and implement preventive measures, ensuring network security and reduced downtime.
amanraox/DDoS-Attack-Detection-and-Mitigation-using-ML
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This project focuses on developing a system to detect and mitigate Distributed Denial of Service (DDoS) attacks using the Random Forest machine learning algorithm. By analyzing network traffic patterns, the system can identify potential DDoS attacks in real-time and implement preventive measures, ensuring network security and reduced downtime.
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