Malware static and dynamic features VxHeaven and Virus Total
Donated on 1/30/2019
3 datasets: staDynBenignLab.csv, features extracted from 595 files (Win 7 and 8); staDynVxHeaven2698Lab.csv, from 2698 files of VxHeaven and staDynVt2955Lab.csv,from 2955 files of Virus Total.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Integer, Real
# Instances
2955
# Features
1087
Dataset Information
Additional Information
- staDynBenignLab.csv: 1086 features extracted from 595 files on MS Windows 7 and 8, obtained Program Files directory. - staDynVxHeaven2698Lab.csv: 1087 features extracted from 2698 files of VxHeaven dataset. - staDynVt2955Lab.csv: 1087 features extracted from 2955 provided by Virus Total in 2018.
Has Missing Values?
No
Variable Information
Static features: ASM, Hex dump and PE Header (discreate, continuous) Dynamic features: extracted from a Cuckoo sandbox
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset malware_static_and_dynamic_features_vxheaven_and_virus_total = fetch_ucirepo(id=541) # data (as pandas dataframes) X = malware_static_and_dynamic_features_vxheaven_and_virus_total.data.features y = malware_static_and_dynamic_features_vxheaven_and_virus_total.data.targets # metadata print(malware_static_and_dynamic_features_vxheaven_and_virus_total.metadata) # variable information print(malware_static_and_dynamic_features_vxheaven_and_virus_total.variables)
Malware static and dynamic features VxHeaven and Virus Total. (2019). UCI Machine Learning Repository. https://doi.org/10.24432/C58K6H.
@misc{misc_malware_static_and_dynamic_features_vxheaven_and_virus_total_541,
title = {{Malware static and dynamic features VxHeaven and Virus Total}},
year = {2019},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C58K6H}
}DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.