Gotta CAPTCHA'Em all: a survey of 20 Years of the human-or-computer Dilemma

M Guerar, L Verderame, M Migliardi… - ACM Computing …, 2021 - dl.acm.org
A recent study has found that malicious bots generated nearly a quarter of overall website
traffic in 2019 [102]. These malicious bots perform activities such as price and content …

Mouse dynamics behavioral biometrics: A survey

S Khan, C Devlen, M Manno, D Hou - ACM Computing Surveys, 2024 - dl.acm.org
Utilization of the Internet in our everyday lives has made us vulnerable in terms of privacy
and security of our data and systems. Therefore, there is a pressing need to protect our data …

[HTML][HTML] Efficient on-the-fly Web bot detection

G Suchacka, A Cabri, S Rovetta, F Masulli - Knowledge-Based Systems, 2021 - Elsevier
A large fraction of traffic on present-day Web servers is generated by bots—intelligent
agents able to traverse the Web and execute various advanced tasks. Since bots' activity …

Smartphone sensors for modeling human-computer interaction: General outlook and research datasets for user authentication

A Acien, A Morales, R Vera-Rodriguez… - 2020 IEEE 44th …, 2020 - ieeexplore.ieee.org
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 interaction …

SapiMouse: Mouse dynamics-based user authentication using deep feature learning

M Antal, N Fejér, K Buza - 2021 IEEE 15th International …, 2021 - ieeexplore.ieee.org
The increasing interest in the analysis of mouse-based human-computer interaction may be
attributed to prominent applications, such as user authentication and bot detection based on …

New cognitive deep-learning CAPTCHA

ND Trong, TH Huong, VT Hoang - Sensors, 2023 - mdpi.com
CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart),
or HIP (Human Interactive Proof), has long been utilized to avoid bots manipulating web …

Alebk: Feasibility study of attention level estimation via blink detection applied to e-learning

R Daza, D DeAlcala, A Morales, R Tolosana… - arXiv preprint arXiv …, 2021 - arxiv.org
This work presents a feasibility study of remote attention level estimation based on eye blink
frequency. We first propose an eye blink detection system based on Convolutional Neural …

Combining blockchain and biometrics: A survey on technical aspects and a first legal analysis

M Ghafourian, B Sumer, R Vera-Rodriguez… - arXiv preprint arXiv …, 2023 - arxiv.org
Biometric recognition as a unique, hard-to-forge, and efficient way of identification and
verification has become an indispensable part of the current digital world. The fast evolution …

Exploring visual representations of computer mouse movements for bot detection using deep learning approaches

H Niu, A Wei, Y Song, Z Cai - Expert Systems with Applications, 2023 - Elsevier
Nowadays, bots can be seen everywhere on the Internet and are responsible for a large
percentage of website traffic. The problem of bot detection has increasingly gained attention …

Human-artificial intelligence approaches for secure analysis in CAPTCHA codes

N Dinh, L Ogiela - EURASIP Journal on Information Security, 2022 - Springer
Abstract CAPTCHA (Completely Automated Public Turing test to tell Computers and
Humans Apart) has long been used to keep automated bots from misusing web services by …