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![Feature extraction based on word embedding models for intrusion detection in network traffic](https://image.oaes.cc/2c7615a7-48d7-4657-9b41-675746175a89/3836.fig.1.jpg)
Figure 1. Analytical workflow for machine learning-based intrusion detection in network traffic. Network sessions in the form of sequences of system calls are fed to a feature extraction method, which returns vector data that can be exploited in the modeling step by machine learning and deep learning algorithms. The outcome is a returned class for each session (normal, attack)