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 …

Deep Learning and Machine Learning, Better Together Than Apart: A Review on Biometrics Mobile Authentication

S Kokal, M Vanamala, R Dave - Journal of Cybersecurity and Privacy, 2023 - mdpi.com
Throughout the past several decades, mobile devices have evolved in capability and
popularity at growing rates while improvement in security has fallen behind. As smartphones …

[HTML][HTML] BehavePassDB: public database for mobile behavioral biometrics and benchmark evaluation

G Stragapede, R Vera-Rodriguez, R Tolosana… - Pattern Recognition, 2023 - Elsevier
Mobile behavioral biometrics have become a popular topic of research, reaching promising
results in terms of authentication, exploiting a multimodal combination of touchscreen 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 …

Network Detection of Interactive {SSH} Impostors Using Deep Learning

J Piet, A Sharma, V Paxson, D Wagner - 32nd USENIX Security …, 2023 - usenix.org
Impostors who have stolen a user's SSH login credentials can inflict significant harm to the
systems to which the user has remote access. We consider the problem of identifying such …

Mobile keystroke biometrics using transformers

G Stragapede, P Delgado-Santos… - 2023 IEEE 17th …, 2023 - ieeexplore.ieee.org
Among user authentication methods, behavioural biometrics has proven to be effective
against identity theft as well as user-friendly and unobtrusive. One of the most popular traits …

TypeFormer: Transformers for mobile keystroke biometrics

G Stragapede, P Delgado-Santos, R Tolosana… - arXiv preprint arXiv …, 2022 - arxiv.org
The broad usage of mobile devices nowadays, the sensitiveness of the information
contained in them, and the shortcomings of current mobile user authentication methods are …

Keystroke verification challenge (KVC): biometric and fairness benchmark evaluation

G Stragapede, R Vera-Rodriguez, R Tolosana… - IEEE …, 2023 - ieeexplore.ieee.org
Analyzing keystroke dynamics (KD) for biometric verification has several advantages: it is
among the most discriminative behavioral traits; keyboards are among the most common …

Biometric identification based on keystroke dynamics

P Kasprowski, Z Borowska, K Harezlak - Sensors, 2022 - mdpi.com
The purpose of the paper is to study how changes in neural network architecture and its
hyperparameters affect the results of biometric identification based on keystroke dynamics …

edBB-Demo: biometrics and behavior analysis for online educational platforms

R Daza, A Morales, R Tolosana, LF Gomez… - Proceedings of the …, 2023 - ojs.aaai.org
We present edBB-Demo, a demonstrator of an AI-powered research platform for student
monitoring in remote education. The edBB platform aims to study the challenges associated …