Mark Stamp
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Crypto×1ML×1
Frequent co-authors
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