ABNORMAL BEHAVIOR DETECTION SYSTEM CONSIDERING ERROR RATE DEVIATION OF ENTIRE USE BEHAVIOR PATTERN DURING PERSONALIZED CONNECTION PERIOD

摘要

Differently from the existing network-based security systems through network traffic analysis, the abnormal behavior detection system implemented a method for detecting an abnormal behavior by patterning various behavior elements, such as time, position, connection network and a used device of an object. In order to enhance system security in the BYOD and smart work environment, the abnormal behavior detection system processes situation information into situation information of connection, use and agent and profile information and detects behaviors, such as abnormal access and use of a terminal device using the entire use behavior pattern and deviation of pattern error rate during the personalized connection period.