A chimerical dataset combining physiological and behavioral biometric traits for reliable user authentication on smart devices and ecosystems

Sandeep Gupta; Attaullah Buriro; Bruno Crispo

doi:10.1016/j.dib.2019.104924

A chimerical dataset combining physiological and behavioral biometric traits for reliable user authentication on smart devices and ecosystems

Sandeep Gupta, Attaullah Buriro, Bruno Crispo

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Abstract

We present a chimerical dataset that combines both physiological and behavioral biometric traits, for reliable user authentication on smart devices and ecosystems [1]. The data are composed of statistical features computed from swipe-gesture, voice-prints, and face-images. The swipe and voice-prints data presented hereinafter are collected using a customized Android application - DriverAuth, however, the face data is obtained from the MOBIO Dataset [2].

We collected 10,320 swipe and voice-prints samples from 86 users worldwide by collaborating with a professional crowd-sourcing platform and formed a chimerical dataset adjunct to the publicly available MOBIO dataset with our collected dataset. The dataset consists of various statistical features computed from the raw data for all three traits, i.e., swipe, voice-print, and face.

Original language	English
Article number	104924
Number of pages	4
Journal	Data in Brief
Early online date	14 Dec 2019
DOIs	https://doi.org/10.1016/j.dib.2019.104924
Publication status	Published - Feb 2020
Externally published	Yes

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10.1016/j.dib.2019.104924Licence: CC BY-NC-ND

A chimerical dataset combining physiological and behavioral biometric traits for reliable user authentication on smart devices and ecosystems
© 2019 The Authors. This open access manuscript is distributed under a Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Final published version, 413 KBLicence: CC BY-NC-ND

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title = "A chimerical dataset combining physiological and behavioral biometric traits for reliable user authentication on smart devices and ecosystems",

abstract = "We present a chimerical dataset that combines both physiological and behavioral biometric traits, for reliable user authentication on smart devices and ecosystems [1]. The data are composed of statistical features computed from swipe-gesture, voice-prints, and face-images. The swipe and voice-prints data presented hereinafter are collected using a customized Android application - DriverAuth, however, the face data is obtained from the MOBIO Dataset [2].We collected 10,320 swipe and voice-prints samples from 86 users worldwide by collaborating with a professional crowd-sourcing platform and formed a chimerical dataset adjunct to the publicly available MOBIO dataset with our collected dataset. The dataset consists of various statistical features computed from the raw data for all three traits, i.e., swipe, voice-print, and face.",

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A chimerical dataset combining physiological and behavioral biometric traits for reliable user authentication on smart devices and ecosystems

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