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Home/Authors/Mark Stamp

Mark Stamp

1 indexed paper

Recent (6 mo)
1
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Publications per year

1
26

Top categories

Crypto×1ML×1

Frequent co-authors

Tomáš Kalný1×
Martin Jureček1×

Research Timeline

2026
Detecting Concept Drift in Evolving Malware Families Using Rule-Based Classifier Representations

The paper proposes a structural method using decision tree rulesets and multiple complementary metrics to detect concept drift in evolving malware families, finding that fixed-interval windowing with feature-level Pearson correlation is the most reliable approach.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.LGRecentApr 24, 2026

Detecting Concept Drift in Evolving Malware Families Using Rule-Based Classifier Representations

Tomáš Kalný, Martin Jureček, Mark Stamp

The paper proposes a structural method using decision tree rulesets and multiple complementary metrics to detect concept drift in evolving malware families, finding that fixed-interval windowing with…

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