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Ransomware PE Header Feature Dataset

Caio Moreira

Mendeley 2023

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  • Título:
    Ransomware PE Header Feature Dataset
  • Autor: Caio Moreira
  • Notas: RelationTypeNote: HasVersion -- 10.17632/p3v94dft2y.1
    10.17632/p3v94dft2y.1
  • Descrição: This dataset contains headers of 2157 binary executable samples comprising 1134 legitimate software (goodware) and 1023 ransomware, grouped into 25 ransomware families. The dataset was retrieved by extracting raw information of the PE header (first 1024 bytes). The CSV file columns are sample ID, filename, target class (GR), family ID, and numerical columns from 0 to 1023, as follows: | ID | filename | GR | family | 0 - 1023 | Goodware | 10000 to 11133 | Their name.exe | 0 | 0 | Numerical features ranging from 0 to 255 | Ransomware | 20000 to 21022 | Their SHA-256 hash | 1 | 25 family IDs | Numerical features ranging from 0 to 255 | Family IDs: Avaddon 1 Babuk 2 Blackmatter 3 Conti 4 Darkside 5 Dharma 6 Doppelpaymer 7 Exorcist 8 Gandcrab 9 Lockbit 10 Makop 11 Maze 12 Mountlocker 13 Nefilim 14 Netwalker 15 Phobos 16 Pysa 17 Ragnarok 18 RansomeXX 19 Revil 20 Ryuk 21 Stop 22 Thanos 23 Wastedlocker 24 Zeppelin 25 A complete description of this dataset can be found in the paper "Moreira, C.C., Moreira, D.C., Sales Jr., C. de S. de: Improving Ransomware Detection based on Portable Executable Header using Xception Convolutional Neural Network. Computers & Security, 103265 (2023), DOI: https://doi.org/10.1016/j.cose.2023.103265, URL: https://www.sciencedirect.com/science/article/pii/S016740482300175X " Please, reference our work when using this dataset.
  • Editor: Mendeley
  • Data de criação/publicação: 2023
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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