2022
DOI: 10.21203/rs.3.rs-1955291/v1
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PH-CNN for PE Malware Detection Using Enhanced Image

Abstract: In the current malware family classification, gray images converted frombinary PE files are subject to code shelling, obfuscation, and other variant techniques, which undermine the similarity of malware images between same family. To solve this problem and improve detection efficiency, a method by enhancing the gray image and using PH-CNN as the detection model is proposed. First, the original image is enhanced by discarding the subjectively set machine code (DSMD) and adding section distribution information (… Show more

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