APPARATUS AND METHOD FOR DETECTING ANOMALOUS SIGN USING PROFILING-BASED STATISTICAL LEARNING

摘要

The present invention relates to an apparatus and method for detecting an anomalous sign using profiling-based statistical learning. According to the present invention, an apparatus for detecting an anomalous sign using profiling-based statistical learning comprises: a plurality of client computers generating and transmitting an event; and a learning analysis system analyzing events collected from the plurality of client computers to calculate statistical data by statistical types, performing statistical learning by using the calculated statistical data as learning data, and calculating a predicted value according to time variables to perform anomaly detection based on the predicted value.;COPYRIGHT KIPO 2019