[HTML][HTML] A hybrid method for keystroke biometric user identification

ML Ali, K Thakur, MA Obaidat - Electronics, 2022 - mdpi.com
The generative model and discriminative model are the two categories of statistical models
used in keystroke biometric areas. Generative models have the trait of handling missing or …

Biometrie authentication using keystroke dynamics

C Jadhav, S Kulkami, S Shelar… - … Conference on I …, 2017 - ieeexplore.ieee.org
Passwords play an important role in the area of security. However though the username and
its password is known only to the respective user, this key-value pair can be obtained and …

Robust keystroke biometric anomaly detection

JV Monaco - arXiv preprint arXiv:1606.09075, 2016 - arxiv.org
The Keystroke Biometrics Ongoing Competition (KBOC) presented an anomaly detection
challenge with a public keystroke dataset containing a large number of subjects and real …

Contract cheat detection using biometric keystroke dynamics

N Agarwal, NF Danielsen, PK Gravdal… - 2022 20th …, 2022 - ieeexplore.ieee.org
Contract cheating has become a profound issue in academics with the onset of the COVID-
19 pandemic as digitised evaluation has become common practice. This evaluation method …

Keystroke dynamics based biometric authentication: A hybrid classifier approach

C Dwivedi, D Kalra, D Naidu… - 2018 IEEE symposium …, 2018 - ieeexplore.ieee.org
The increased use of computers in our day to day activities has marked the necessity to
develop efficient methods of user identification for authentication purposes. The tasks of …

Keystroke dynamics using auto encoders

Y Patel, K Ouazzane, VT Vassilev… - … on Cyber Security …, 2019 - ieeexplore.ieee.org
In the modern day and age, credential based authentication systems no longer provide the
level of security that many organisations and their services require. The level of trust in …

[PDF][PDF] Keystroke dynamics analysis for user authentication using a deep learning approach

N Altwaijry - International Journal of Computer Science and …, 2020 - researchgate.net
With the ubiquitous use of the Internet, the importance of secure access to computing
resources has grown. Many computer systems authenticate users through a password …

Feature learning with deep neural networks for keystroke biometrics: A study of supervised pre-training and autoencoders

E Hellström - 2018 - diva-portal.org
Computer security is becoming an increasingly important topic in today's society, with ever
increasing connectivity between devices and services. Stolen passwords have the potential …

Biometric studies with hidden Markov model and its extension on short fixed-text input

ML Ali, JV Monaco, CC Tappert - 2017 IEEE 8th Annual …, 2017 - ieeexplore.ieee.org
The hidden Markov model (HMM) and its extensions have been applied in numerous
scientific and engineering areas. In speech recognition, HMMs still outperform many other …

[PDF][PDF] Investigating Keystroke Dynamics as a Two-Factor Biometric Security

B Mwandau, M Nyanchama - Computer Science, 2018 - researchgate.net
With more users embracing technologies and using applications without necessarily
understanding the security repercussions, a further protection mechanism needs to be …