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kNN Classification of Malware Data Dependency Graph Features
We show that non-parametric approaches to classification in the metric space are able to obtain classification accuracy of 87. 5\% when applied to multi-class classification in the Kaggle malware dataset.
A Novel Feature Representation for Malware Classification
In this study we have presented a novel feature representation for malicious programs that can be used for malware classification.
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