User behavior anomaly detection

Abstract

A network user behavior system that detects anomalous user behavior includes a memory system with a user behavior module. The user behavior module creates a user profile based on user activity that includes user activity logs that record parameters related to user activity; selects indicator features, wherein the indicator feature includes user activity related to the parameters; creates a user identifier (UID) for each combination of the indicator feature and user; associates each UID with a timestamp to establish a UID and timestamp relationship; establishes a UID and timestamp relationship range indicative of non-anomalous user behavior; and identifies an anomalous user behavior as a UID and timestamp relationship outside of the range indicative of non-anomalous user behavior.

Dependencies are inferred from the claim text.