Next Article in Journal
Seed Volume Dataset—An Ongoing Inventory of Seed Size Expressed by Volume
Previous Article in Journal
Natural Cities Generated from All Building Locations in America
Article Menu
Issue 2 (June) cover image

Export Article

Open AccessData Descriptor

BrainRun: A Behavioral Biometrics Dataset towards Continuous Implicit Authentication

1
Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
2
ZOLOZ, Kansas City, MO 64108, USA
*
Author to whom correspondence should be addressed.
Received: 22 March 2019 / Revised: 19 April 2019 / Accepted: 29 April 2019 / Published: 1 May 2019
  |  
PDF [1349 KB, uploaded 30 May 2019]
  |  

Abstract

The widespread use of smartphones has dictated a new paradigm, where mobile applications are the primary channel for dealing with day-to-day tasks. This paradigm is full of sensitive information, making security of utmost importance. To that end, and given the traditional authentication techniques (passwords and/or unlock patterns) which have become ineffective, several research efforts are targeted towards biometrics security, while more advanced techniques are considering continuous implicit authentication on the basis of behavioral biometrics. However, most studies in this direction are performed “in vitro” resulting in small-scale experimentation. In this context, and in an effort to create a solid information basis upon which continuous authentication models can be built, we employ the real-world application “BrainRun”, a brain-training game aiming at boosting cognitive skills of individuals. BrainRun embeds a gestures capturing tool, so that the different types of gestures that describe the swiping behavior of users are recorded and thus can be modeled. Upon releasing the application at both the “Google Play Store” and “Apple App Store”, we construct a dataset containing gestures and sensors data for more than 2000 different users and devices. The dataset is distributed under the CC0 license and can be found at the EU Zenodo repository. View Full-Text
Keywords: continuous implicit authentication; mobile security; behavioral biometrics continuous implicit authentication; mobile security; behavioral biometrics
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Papamichail, M.D.; Chatzidimitriou, K.C.; Karanikiotis, T.; Oikonomou, N.-C.I.; Symeonidis, A.L.; Saripalle, S.K. BrainRun: A Behavioral Biometrics Dataset towards Continuous Implicit Authentication. Data 2019, 4, 60.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Data EISSN 2306-5729 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top