Importance

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Abstract

Disclosed are a method and system, capable of performing adaptive intrusion detection proactively coping with a new type of attack unknown to the system and capable of training an intrusion type classification model by using a small volume of training data, the system including a data collector configured to collect host and network log information, an input data preprocessor configured to convert data acquired through the data collector into a feature vector, which is an input type of intelligence intrusion detection, and an intelligence intrusion detection analyzer configured to perform an intrusion detection and a model update by using the extracted feature vector, and an intrusion detection learning model configured to detect an intrusion and learn classification of the type of attack based on training data.

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First Claim