Patent ID: 11907368
Assignee: TREND MICRO INCORPORATED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A method of detecting an anomalous activity on a computer network, the method comprising:
generating a baseline graph of activities of a target entity, the baseline graph being generated with information on activities of the target entity during a first information collection period;
generating a predict graph of activities of the target entity, the predict graph being generated with information on activities of the target entity during a second information collection period, wherein the second information collection period follows and is shorter than the first information collection period;
generating a residual graph that indicates nodes or edges that are in the predict graph but not in the baseline graph, wherein the baseline graph, the predict graph, and the residual graph each comprises a central node and neighbor nodes that are connected to the central node by corresponding edges, the central node represents the target entity, and each edge represents an attribute of an activity performed by the target entity on another entity represented by a neighbor node that is connected to the central node by the edge; and
detecting that the target entity has performed one or more anomalous activities based at least on information in the residual graph.