A study on cyber threat prediction based on intrusion detection event for APT attack detection

A number of APT(Advanced Persistent Threat) attack malwares are being detected as of late together with attempts by the state and enterprises to leak personal information. To detect and respond to them, malwares must first be detected by security monitoring system. In particular, availability of a method to detect and predict such malwares in advance will lead to preventing security incidents. This study will propose a method of prediction based on intrusion detection event and a functional configuration to realize the method and will assess the prediction model based on intrusion detection events proposed through a test consisting of the stages of learning, prediction and evaluation.