vanlalruata/DDoS-attack-detection-and-mitigation-using-deep-neural-network-in-SDN-environment
Computers & Security
This project helps network security professionals protect their digital infrastructure by identifying and responding to Distributed Denial-of-Service (DDoS) attacks. It takes real-time network traffic data as input and outputs a clear indication of ongoing DDoS attacks, enabling swift mitigation. This is designed for network security engineers and operations teams managing software-defined networks (SDN).
Use this if you need a highly accurate and scalable way to detect DDoS attacks in your software-defined network environment.
Not ideal if you are looking for a general network monitoring tool not specifically focused on advanced DDoS threat detection in SDN.
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Python
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Last pushed
Oct 31, 2025
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