activity
20162021
most citedRobust Keystroke Biometric Anomaly Detection

20 citations · 36 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV2021

TypeNet: Deep Learning Keystroke Biometrics

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

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 Lon…

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.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.NE2017★ 2 cited

Integer Factorization with a Neuromorphic Sieve

John V. Monaco, Manuel M. Vindiola

The bound to factor large integers is dominated by the computational effort to discover numbers that are smooth, typically performed by sieving a polynomial sequence. On a von Neum…

stat.CO2017★ 3 cited

General Semiparametric Shared Frailty Model Estimation and Simulation with frailtySurv

John V. Monaco, Malka Gorfine, Li Hsu

The R package frailtySurv for simulating and fitting semi-parametric shared frailty models is introduced. Package frailtySurv implements semi-parametric consistent estimators for a…

cs.CR2016★ 10 cited

Obfuscating Keystroke Time Intervals to Avoid Identification and Impersonation

John V. Monaco, Charles C. Tappert

There are numerous opportunities for adversaries to observe user behavior remotely on the web. Additionally, keystroke biometric algorithms have advanced to the point where user id…

cs.IT2016★ 1 cited

The Partially Observable Hidden Markov Model and its Application to Keystroke Dynamics

John V. Monaco, Charles C. Tappert

The partially observable hidden Markov model is an extension of the hidden Markov Model in which the hidden state is conditioned on an independent Markov chain. This structure is m…

cs.CR2016★ 20 cited

Robust Keystroke Biometric Anomaly Detection

John V. Monaco

The Keystroke Biometrics Ongoing Competition (KBOC) presented an anomaly detection challenge with a public keystroke dataset containing a large number of subjects and real-world as…