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Detecting Anomalous Network Communication Patterns Using Graph Convolutional Networks
To protect an organizations' endpoints from sophisticated cyberattacks, advanced detection methods are required.
Exploiting Meta-Cognitive Features for a Machine-Learning-Based One-Shot Group-Decision Aggregation
To evaluate our methodology, we collected 2490 responses for different tasks, which we used for feature engineering and for the training of ML models.
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