The dataset contains malware samples from eight different families: 832 spyware samples, 1001 downloader samples, 1001 trojan samples, 1001 worms samples, 379 adware samples, 891 dropper samples, 1001 virus samples, and 1001 backdoor samples. The associated study seeks to obtain data which will help to address machine learning based malware research gaps. The specific objective of the study is to build a benchmark dataset for Windows operating system API calls of various malware.
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