International Business Machines Corporation
Systems and methods for maintaining data privacy in a shared detection model system

Abstract:

A local node for updating detection models while maintaining data privacy has an aggregation module, a retraining module, an instructions module, and a sharing module. The aggregation module aggregates the data into features that describe the contents of the data. The retraining module retrains the detection model using the features by implementing an algorithm that includes at least one selected feature and a threshold for triggering an activity alert. The instructions module determines instructions for calculating the at least one selected feature from a different collection of data. The sharing module generates a package having the instructions for calculating the at least one selected feature from the different collection of data and the threshold, and transmits the package to a local node for implementation of the retrained detection model with data stored at the local node.