Akamai Technologies, Inc.
Reducing false positives in bot detection

Abstract:

This disclosure describes a bot detection system that distinguishes bot transactions from human transactions. The system utilizes an anomaly-based filter process to reduce the number of false positives as determined by the system. The filter process includes maintaining a database of anomaly patterns, wherein the patterns are encoded as anomaly pattern strings. As anomalies are detected, they are encoded in the anomaly pattern strings, and the database is updated by maintaining counts on the occurrences of the strings. When a particular pattern string as reflected in the database has a count that exceeds a threshold, the string is determined to be associated with a bot as opposed to a human user.