aliasar1/DDoS-Detection-SDN
This repository contains the implementation of a DDOS attack detection system using a Software-Defined Networking (SDN) network.
This system helps network security engineers detect Distributed Denial of Service (DDoS) attacks in real-time. It takes raw network traffic data, processes it, and then uses various machine learning models to classify the traffic as either normal or a DDoS attack. Network administrators and security teams would use this to protect their network infrastructure from malicious attacks.
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Use this if you need to implement a machine learning-based system to automatically identify and mitigate DDoS attacks within a Software-Defined Network (SDN) environment.
Not ideal if you require a simple, out-of-the-box solution with no technical setup or if your network infrastructure does not utilize Software-Defined Networking.
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Jun 05, 2023
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