Statistical DDoS Defense: Why Adaptive Detection Beats Fixed Rules

Fixed-threshold DDoS defenses fail in production because they cannot distinguish between legitimate peak traffic and coordinated attacks. This case study demonstrates how an adaptive detection engine that learns normal traffic patterns in real time provides superior protection through statistical analysis rather than rigid rules. For infrastructure teams relying on outdated tools like Fail2Ban, this blueprint offers a practical path toward more intelligent, context-aware security.