Jan Svoboda presented a poster at POSTERS 2026 in Prague, showcasing a machine learning pipeline for selecting multi-objective models to classify network flows, addressing both data and engineering challenges in training classifiers for network intrusion detection. This development is crucial for cybersecurity professionals as it enhances the efficiency and effectiveness of deploying malicious network flow classifiers in real-world applications like Stratosphere Linux IPS (Slips).
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