TUNADROMD
Donated on 6/20/2023
TUNADROMD dataset contains 4465 instances and 241 attributes. The target attribute for classification is a category (malware vs good ware). (N.B. This is the preprocessed version of TUANDROMD)
Dataset Characteristics
Tabular
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Integer
# Instances
4465
# Features
242
Dataset Information
For what purpose was the dataset created?
To support malware research and validation of the effectiveness of malware detection methods
What do the instances in this dataset represent?
The instances represent the characteristics of a malware binary
Are there recommended data splits?
No
Does the dataset contain data that might be considered sensitive in any way?
No
Has Missing Values?
No
Introductory Paper
By Parthajit Borah; DK Bhattacharyya; JK Kalita. 2021
Published in Chennai, India
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| ACCESS_ALL_DOWNLOADS | Feature | Integer | no | ||
| ACCESS_CACHE_FILESYSTEM | Feature | Integer | no | ||
| ACCESS_CHECKIN_PROPERTIES | Feature | Integer | no | ||
| ACCESS_COARSE_LOCATION | Feature | Integer | no | ||
| ACCESS_COARSE_UPDATES | Feature | Integer | no | ||
| ACCESS_FINE_LOCATION | Feature | Integer | no | ||
| ACCESS_LOCATION_EXTRA_COMMANDS | Feature | Integer | no | ||
| ACCESS_MOCK_LOCATION | Feature | Integer | no | ||
| ACCESS_MTK_MMHW | Feature | Integer | no | ||
| ACCESS_NETWORK_STATE | Feature | Integer | no |
0 to 10 of 242
Additional Variable Information
1-214: Permission-based features 215-241: API-based features
Class Labels
Class: 1) Malware 2) Goodware
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset tunadromd = fetch_ucirepo(id=813) # data (as pandas dataframes) X = tunadromd.data.features y = tunadromd.data.targets # metadata print(tunadromd.metadata) # variable information print(tunadromd.variables)
TUNADROMD. (2023). UCI Machine Learning Repository. https://doi.org/ 10.1109/CICT51604.2020.9312053.
@misc{misc_tunadromd_813,
title = {{TUNADROMD}},
year = {2023},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/ 10.1109/CICT51604.2020.9312053}
}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.