MEU-Mobile KSD
Donated on 5/13/2016
This dataset contains keystroke dynamics data collected on a touch mobile device (Nexus 7). The dataset contains 2856 records, 51 records per subject for 56 subjects.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Integer, Real
# Instances
2856
# Features
-
Dataset Information
Additional Information
The dataset is used in the evaluation of EER, FRR and FAR metrics using a new anomaly detector model (Med-Min-Diff). The typed text in the experiment is the password '.tie5Roanl'.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no |
0 to 10 of 71
Additional Variable Information
The measured features (attributes) are Hold (H), Up-Down (UD), Down-Down (DD), Pressure (P), Finger-Area (A), Averages of Hold (AH), Pressure (AP) and Finger Area (AFA). There are 71 features because each feature has a set of feature elements corresponding to the typed characters.
Dataset Files
| File | Size |
|---|---|
| MEU-Mobile KSD 2016.xlsx | 1.3 MB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset meu_mobile_ksd = fetch_ucirepo(id=399) # data (as pandas dataframes) X = meu_mobile_ksd.data.features y = meu_mobile_ksd.data.targets # metadata print(meu_mobile_ksd.metadata) # variable information print(meu_mobile_ksd.variables)
Al-Obaidi, N. (2016). MEU-Mobile KSD [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5R314.
Creators
Noor Al-Obaidi
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.