AnshumanMohanty-2001/DDoS-Detection
Detailed Comparative analysis of DDoS detection using Machine Learning Models
This project helps network security professionals and system administrators identify Distributed Denial of Service (DDoS) attacks. It takes network traffic data (like packet information) and uses various machine learning techniques to determine if an attack is underway. The output is a classification indicating whether the network activity is normal or part of a DDoS attack.
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Use this if you need a robust, data-driven approach to automatically detect and classify DDoS flooding attacks in your network infrastructure.
Not ideal if you are looking for tools to prevent or mitigate DDoS attacks, as this focuses solely on detection and analysis.
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Jan 20, 2024
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