XAI-BASED NORMAL LEARNING DATA GENERATION METHOD AND DEVICE FOR UNSUPERVISED LEARNING OF ABNORMAL BEHAVIOR DETECTION MODEL

摘要

An XAI-based normal learning data generation method for unsupervised learning of an abnormal behavior detection model according to an embodiment of the present invention is a method performed by a normal learning data generating device, and an abnormal label is generated using some of the collected data of the security device. Or generating a training data set labeled with a normal label; Generating a supervised learning model for detecting abnormal behavior through supervised learning using the labeled learning data set; Interpreting the supervised learning model into an explainable model; Determining an ideal criterion numerical range through the interpreted explanable model; And generating data outside the abnormal standard numerical range among the collected data of the security device as a normal learning data set.