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Data · dataset · 2024

Goodware Dataset used in "Disarming Visualization-Based Approaches in Malware Detection Systems"

Listed in Teesside University Research Data Repository

Description

This is one of the datasets used in the experiments of the paper: Fascí, L. S., Fisichella, M., Lax, G., & Qian, C. (2023). Disarming visualization-based approaches in malware detection systems. Computers & Security, 126, 103062. sciencedirect.com/science/article/pii/S0167404822004540 It contains 2.000 goodware files.

We collected .exe files both by web scraping on different platforms (DriverPack Solution, Filehippo, Major Geeks, Portable Freeware, Softonic) and by using executables of two virtual machines right after installing the 32-bit version of Windows 8 and 10, respectively. To ensure that the collected .exe files are not malware, we scanned each file with VirusTotal software. The password to open the archive is Ben1gN@D$!?

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Provenance · 1 source records, 6 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/cv3v9szdn7.39 h agoJSON v1
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title