每天训练百万个模型,保护各类客户免受DDoS攻击
原文英文,约2200词,阅读约需8分钟。发表于: 。In this post we will describe how we use anomaly detection to watch for novel DDoS attacks. We’ll provide an overview of how we build models which flag unusual traffic and keep our customers safe.
Cloudflare的DDoS保护系统通过流量分析和异常检测,确保客户网站安全。利用主成分分析(PCA)和马哈拉诺比斯距离优化模型,每天训练约100万个模型,以提高检测准确性。