Abstract: Multi-step attacks challenge security analysts in reconstructing attack sequences from extensive multi-host log data. Existing attack reconstruction approaches rely heavily on ...
Abstract: We propose a method for learning a classifier that accurately predicts both instance and bag classes in multiple instance learning (MIL) for anomaly detection, achieving significant ...
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