A survey of human gait-based artificial intelligence applications

EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

A survey of privacy vulnerabilities of mobile device sensors

P Delgado-Santos, G Stragapede, R Tolosana… - ACM Computing …, 2022 - dl.acm.org
The number of mobile devices, such as smartphones and smartwatches, is relentlessly
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …

Sensor-based continuous authentication of smartphones' users using behavioral biometrics: A contemporary survey

M Abuhamad, A Abusnaina, DH Nyang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Mobile devices and technologies have become increasingly popular, offering comparable
storage and computational capabilities to desktop computers allowing users to store and …

[HTML][HTML] Mobile behavioral biometrics for passive authentication

G Stragapede, R Vera-Rodriguez, R Tolosana… - Pattern Recognition …, 2022 - Elsevier
Current mobile user authentication systems based on PIN codes, fingerprint, and face
recognition have several shortcomings. Such limitations have been addressed in the …

TypeNet: Deep learning keystroke biometrics

A Acien, A Morales, JV Monaco… - … and Identity Science, 2021 - ieeexplore.ieee.org
We study the performance of Long Short-Term Memory networks for keystroke biometric
authentication at large scale in free-text scenarios. For this we explore the performance of …

[HTML][HTML] GaitPrivacyON: Privacy-preserving mobile gait biometrics using unsupervised learning

P Delgado-Santos, R Tolosana, R Guest… - Pattern Recognition …, 2022 - Elsevier
Numerous studies in the literature have already shown the potential of biometrics on mobile
devices for authentication purposes. However, it has been shown that, the learning …

MMAuth: A continuous authentication framework on smartphones using multiple modalities

Z Shen, S Li, X Zhao, J Zou - IEEE Transactions on Information …, 2022 - ieeexplore.ieee.org
With the wide use of smartphones, more private data are collected and saved in the
smartphones. This raises higher requirements for secure and effective user authentication …

[HTML][HTML] SwipeFormer: Transformers for mobile touchscreen biometrics

P Delgado-Santos, R Tolosana, R Guest… - Expert Systems with …, 2024 - Elsevier
The growing number of mobile devices over the past few years brings a large amount of
personal information, which needs to be properly protected. As a result, several mobile …

Stationary mobile behavioral biometrics: A survey

A Ray-Dowling, D Hou, S Schuckers - Computers & Security, 2023 - Elsevier
Current security mechanisms in mobile devices such as PINs, passwords, patterned
passwords, and biometrics are one-time entry-point authentication and vulnerable to attacks …

Hold on and swipe: a touch-movement based continuous authentication schema based on machine learning

J Mallet, L Pryor, R Dave, N Seliya… - … Asia Conference on …, 2022 - ieeexplore.ieee.org
In recent years, the amount of secure information being stored on mobile devices has grown
exponentially. However, current security schemas for mobile devices such as physiological …