most citedExploring Optimal Deep Learning Models for Image-based Malware Variant Classification

16 citations · 16 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CR2020★ 16 cited

Exploring Optimal Deep Learning Models for Image-based Malware Variant Classification

Rikima Mitsuhashi, Takahiro Shinagawa

Analyzing a huge amount of malware is a major burden for security analysts. Since emerging malware is often a variant of existing malware, automatically classifying malware into kn…