Malware API Call Dataset

This study seeks to obtain data which will help to address machine learning based malware research gaps. The specific objective of this study is to build a benchmark dataset for Windows operating system API calls of various malware. This is the first study to undertake metamorphic malware to build sequential API calls. It is hoped that this research will contribute to a deeper understanding of how metamorphic malware change their behavior (i.e. API calls) by adding meaningless opcodes with their own dissembler/assembler parts.

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

[1] , "Malware API Call Dataset", IEEE Dataport, 2019. [Online]. Available: Accessed: Sep. 22, 2019.
doi = {10.21227/crfp-kd68},
url = {},
author = { },
publisher = {IEEE Dataport},
title = {Malware API Call Dataset},
year = {2019} }
T1 - Malware API Call Dataset
AU -
PY - 2019
PB - IEEE Dataport
UR - 10.21227/crfp-kd68
ER -
. (2019). Malware API Call Dataset. IEEE Dataport.
, 2019. Malware API Call Dataset. Available at:
. (2019). "Malware API Call Dataset." Web.
1. . Malware API Call Dataset [Internet]. IEEE Dataport; 2019. Available from :
. "Malware API Call Dataset." doi: 10.21227/crfp-kd68