Geographic and Behavioral Analytics

Geographic analysis provides powerful DDoS detection capabilities. Most businesses have predictable geographic traffic distributions based on their target markets. Sudden traffic surges from unusual locations often indicate attacks. Implement geographic monitoring to identify traffic from unexpected regions or countries where you have no legitimate users.

User agent analysis helps identify bot traffic. While sophisticated attacks spoof user agents, many attacks use default or outdated agent strings. Monitor user agent distributions and flag unusual patterns. Excessive traffic from outdated browsers, missing user agents, or known bot signatures indicates potential attacks.

Session analysis reveals attack patterns through user behavior examination. Legitimate users maintain sessions, store cookies, and exhibit human-like interaction patterns. Attack traffic often lacks these characteristics, making rapid requests without maintaining state. Analyze session behavior to distinguish between real users and attacking bots.

Request pattern analysis identifies automated attack tools. Many DDoS tools generate predictable request patterns, accessing resources in alphabetical order or with fixed timing intervals. Analyze request sequences, timing patterns, and resource access patterns to identify tool-generated traffic.