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J. Loevenich

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#machine learning Preprint Oct 2026

Analyzing and Mitigating Poisoning Attacks on Flow-Based Intrusion Detection

A diagnostic-first methodology is proposed that localizes trigger-relevant features through constrained perturbation analysis and detects poisoning-induced behavioral drift by comparison with a distilled baseline model and enables targeted mitigation via automated data sanitization or neuron pruning.

Florian Spelter, J. Loevenich, Tobias Hürten et al. · 0 citations

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