METHOD FOR PREDICTING INTERNET OF THINGS (IOT) DATA INCONSISTENCY

Abstract

The disclosure relates to a method and apparatus for predicting Internet of Things (IoT) data inconsistency. The method comprises obtaining labelled IoT data, the IoT data being collected from a plurality of IoT devices by a monitoring system. The method comprises analyzing characteristics of the labelled IoT data and identifying features of IoT data inconsistency. The method comprises training, using the labelled IoT devices data and the features of IoT data inconsistency, a ML model to predict the IoT data inconsistency. The method comprises generating, using the labelled IoT data and the features of IoT data inconsistency, a set of inconsistency rules to be applied to live IoT data predicted as inconsistent by the ML model.

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