MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition. (arXiv:2305.01245v1 [cs.CR])

Malware open-set recognition (MOSR) aims at jointly classifying malware
samples from known families and detect the ones from novel unknown families,
respectively. Existing works mostly rely on a well-trained classifier
considering the predicted probabilities of each known family with a
threshold-based detection to achieve the MOSR. However, our observation reveals
that the feature distributions of malware samples are extremely similar to each
other even between known and unknown families. Thus the obtained classifier may
produce overly high probabilities of testing …

detect detection family malware modal networks novel recognition