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Network Intrusion Detection Method using unsupervised deep learning algorithms and Computer Readable Recording Medium on which program therefor is recorded
Network Intrusion Detection Method using unsupervised deep learning algorithms and Computer Readable Recording Medium on which program therefor is recorded
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机译：网络入侵检测方法，使用无监督的深度学习算法和计算机可读记录介质，记录其上的程序
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摘要
The present invention relates to an unsupervised network intrusion detection method using a deep learning algorithm and a recording medium in which a program for executing the same is recorded. An unsupervised method for network intrusion detection using a deep learning algorithm according to an example of the present invention, and a recording medium on which a program for executing the same is recorded, pre-processes a data packet input from the outside in a one-hot encoding method a preprocessing step of generating an original vector expressed as a vector value; A compression and restoration step of compressing the original vector to a lower dimension using an autoencoder method and then restoring it to the original dimension to generate a restored vector expressed as a vector value; a loss value calculation step of calculating a loss value by calculating a difference value between the original vector and the restored vector; and a determination step of determining the data packet as abnormal data if the calculated loss value is greater than the threshold, and determining the data packet as normal data if the calculated loss value is less than the threshold. It is determined using an operating characteristic curve, ROC curve), and a point having a high true positive rate and a low false positive rate in the receiver operating characteristic curve may be selected as a threshold value.
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