Kaspersky Machine Learning for Anomaly Detection

About tags

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Tags are the main objects of observation in Kaspersky MLAD. A tag is a process parameter transmitted in the industrial network (temperature, for example). Measurements of physical parameters, as well as setpoints, commands, or states of control systems can be transmitted as tags. The values of tags are transmitted and received by the assets over specific protocols. The values of tags are displayed on graphs in the History and Monitoring sections and are also used to detect incidents.

Kaspersky MLAD supports several methods for obtaining telemetry data (tags). Depending on the monitored asset attributes and the tag transmission capabilities, you can select one of the following methods for receiving tag values in real time:

You can also retrieve tag values for a specific historical period with one of the following methods:

  • Using OPC UA Connector if the monitored asset supports access to historical data according to the OPC UA HDA standard
  • Using HTTP Connector by uploading CSV files containing historical data

See also:

Managing assets and tags