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Malware classification based on double byte feature encoding
2021
Alexandria Engineering Journal
Many researchers analyze malware through static analysis and dynamic analysis technology, and combine it with excellent deep learning algorithm, which has achieved good results in malware classification. However, many researches only use the. ASM file generated by decompiler or. Bytes file represented by hexadecimal for feature extraction. This paper fully integrates the features of these two files, and uses word frequency and two deep learning algorithms to extract 184 opcode features and 16
doi:10.1016/j.aej.2021.04.076
fatcat:ocrqbt4gpngj7cwg22exyq2x2i