Kaspersky Machine Learning for Anomaly Detection

About monitored asset hierarchical structure

Monitored asset hierarchical structure (hierarchical structure) is a way of representing the monitored asset as a tree, where the leaf nodes correspond to the tags from which telemetry data is received.

Monitored asset tags are organized as a hierarchy of assets representing, for example, units, plants, shops, and factories. The specific way assets are organized, their types and quantity are decided by the customer and depend on the structure of the asset being monitored. Each asset has only one parent element. This element can be another asset (parent asset) or a head element of the hierarchical structure (Root) that corresponds to the monitored asset as a whole.

Tags and assets are the primary elements of a hierarchical structure. You can import or export an asset tree as an XLSX file, and create and manage them in the Assets section.

In addition to primary elements, the following functional elements can be added to the hierarchical structure in the process of or as a result of the operations of Kaspersky MLAD:

• Markups
• ML models
• Templates for ML models