Malware detection approaches based on operation codes (opcodes) of executable programs: a review

HIGHLIGHTS

SUMMARY

The approach for detecting malware is only based on sample operation codes (OpCodes) using machine_learning (ML) algorithms. The collected studies of the approaches for detecting malware only based on OpCodes that used machine_learning (ML) algorithms acted 67.57% of the overall studies; therefore, this category took the majority. The approaches for detecting malware that have used vectors of features for features extraction and selection appeared in 12% of the collected studies that used machine_learning (ML). The most spread approaches for detecting malware were using machine_learning (ML) algorithms. Accordingly, this study recommends improving the approaches . . .

 



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