Malware visualization methods based on deep convolution neural networks
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DOI: 10.1007/s11042-019-08310-9
Abstract: In this paper, we propose two visualization methods for malware analysis based on n-gram features of byte sequences. The space filling curve mapping (SFCM) method uses fractal curves to visualize the one-gram features of byte… read more here.
Keywords: gram features; deep convolution; visualization methods; byte sequences ... See more keywords