Abstract: The present invention relates to a deep learning-based abnormal behavior detection system using anonymized data to sense abnormal behavior such as installing hidden cameras in a set area such as a bathroom. The present invention comprises: an anonymized image data generation unit for sensing the behavior of a subject in a set area, and generating image data in which personal information of the subject has been anonymized; and an abnormal behavior identification unit for categorizing the anonymized image data as normal or abnormal behavior data using a model trained with abnormal behaviors.