most citedMultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns

9 citations · 15 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CR2020

Smartphone Sensors for Modeling Human-Computer Interaction: General Outlook and Research Datasets for User Authentication

Alejandro Acien, Aythami Morales, Ruben Vera-Rodriguez +1

In this paper we list the sensors commonly available in modern smartphones and provide a general outlook of the different ways these sensors can be used for modeling the interactio…

cs.CR2020

Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic

Aythami Morales, Alejandro Acien, Julian Fierrez +4

This work proposes and analyzes the use of keystroke biometrics for content de-anonymization. Fake news have become a powerful tool to manipulate public opinion, especially during…

cs.CR2020

BeCAPTCHA: Behavioral Bot Detection using Touchscreen and Mobile Sensors benchmarked on HuMIdb

Alejandro Acien, Aythami Morales, Julian Fierrez +2

In this paper we study the suitability of a new generation of CAPTCHA methods based on smartphone interactions. The heterogeneous flow of data generated during the interaction with…

cs.CV2020

TypeNet: Scaling up Keystroke Biometrics

Alejandro Acien, John V. Monaco, Aythami Morales +2

We study the suitability of keystroke dynamics to authenticate 100K users typing free-text. For this, we first analyze to what extent our method based on a Siamese Recurrent Neural…

cs.HC2020

BeCAPTCHA: Detecting Human Behavior in Smartphone Interaction using Multiple Inbuilt Sensors

Alejandro Acien, Aythami Morales, Julian Fierrez +2

We introduce a novel multimodal mobile database called HuMIdb (Human Mobile Interaction database) that comprises 14 mobile sensors acquired from 600 users. The heterogeneous flow o…

cs.CV20196 cited

Characterization of the Handwriting Skills as a Biomarker for Parkinson Disease

R. Castrillon, A. Acien, J. R. Orozco-Arroyave +6

In this paper we evaluate the suitability of handwriting patterns as potential biomarkers to model Parkinson disease (PD). Although the study of PD is attracting the interest of ma…