International Business Machines Corporation
Hierarchical evaluation of multivariate anomaly level

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Abstract:

Embodiments may include techniques for hierarchical evaluation of the anomaly level of a system and its sub-components using domain knowledge, so as to provide improved accuracy and explainability compared to conventional methods. For example a method of anomaly detection in a hierarchical computer network may comprise defining a tree-like topological structure which describes how the hierarchical computer network comprises sub-components, wherein each node of the tree-like topological structure represents a sub-component of the hierarchical computer network, and wherein at least some of the sub-components are monitored to generate signals indicating an operational condition of each sub-component, collecting a plurality of time-series of maximum absolute anomaly scores for each monitored signal, and computing an anomaly score for a root node of the tree-like topological structure.

Status:
Grant
Type:

Utility

Filling date:

11 Jun 2020

Issue date:

8 Mar 2022