saicharansigiri/DDos-Detection-using-ML
As we know that Now-a-days Most of the DDos attacks are often sourced from Cloud and Affect many systems and businesses, resulting in significant financial and intellectual property losses. It is critical to prevent this from occurring, so we used machine learning models to detect these attacks and block the source & further preventing them from occurring again .
This project helps network security teams proactively identify and block Denial of Service (DDoS) attacks originating from cloud environments. By analyzing network traffic data at the source, it detects malicious activity and pinpoints the attack origin. This allows network administrators and security analysts to prevent attacks before they impact systems.
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Use this if you need a machine learning-based solution to detect and prevent DDoS attacks by identifying their cloud-based sources.
Not ideal if you are looking for a passive, post-attack analysis tool that focuses solely on the victim's side.
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Last pushed
Aug 28, 2023
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