Detecting & Blocking Anomalous Traffic with Cloud Anomaly Detector
A new anomaly detection system has been developed to monitor and block malicious traffic in real time. This system utilizes nginx access logs and statistical methods to identify abuse patterns and enforce bans at the host level. It aims to provide a low-cost, self-hosted solution for modern security threats such as DDoS attacks and API abuse.
- ▪The system is containerized and runs on low-cost VPS infrastructure.
- ▪It processes nginx logs in real time to detect anomalies using a rolling statistical model.
- ▪When an anomaly is confirmed, the system blocks the malicious IP at the kernel level for immediate enforcement.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 1238224) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Joseph Joshua Posted on Apr 28 • Edited on Apr 30 Detecting & Blocking Anomalous Traffic with Cloud Anomaly Detector #programming #python #devops #aws A lightweight, containerized anomaly detection system that monitors traffic in real time, detects abuse patterns, and automatically blocks malicious IPs at the host firewall level.
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