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How I Built a Real Time DDoS Detection Engine from Scratch

DEV Community·marlinekhavele·about 1 month ago
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Imagine you run a cloud storage platform. Thousands of users upload files, share documents, and log in every day. Then one afternoon, traffic suddenly spikes thousands of requests per second hammering your server from a single IP address. Your server slows down. Legitimate users can't log in. You're under attack. The traditional answer is Fail2Ban a tool that watches logs and blocks IPs. But what if you had to build that yourself, from first principles? That's exactly what this project is a custom anomaly detection daemon that watches HTTP traffic in real time, learns what "normal" looks like, and automatically blocks attackers via iptables. No Fail2Ban. No rate limiting libraries. Just Python, math, and Linux.…

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