Rule-based representations from decision trees detect concept drift in malware by correlating feature importance, agreement, stability, and coverage metrics with accuracy drops on EMBER2024 across six families.
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Detecting Concept Drift in Evolving Malware Families Using Rule-Based Classifier Representations
Rule-based representations from decision trees detect concept drift in malware by correlating feature importance, agreement, stability, and coverage metrics with accuracy drops on EMBER2024 across six families.