John V. Monaco

TypeNet: Scaling up Keystroke Biometrics

2020

We study the suitability of keystroke dynamics to authenticate 100 K users typing free-text. For this, we first analyze to what extent our method based on a Siamese Recurrent Neural Network (RNN) is able to …

Device Fingerprinting with Peripheral Timestamps

2022 · 2022 IEEE Symposium on Security and Privacy (SP)

Sensing and processing peripheral input is a ubiquitous capability of personal computers. Text entry on physical and virtual keyboards, mouse pointer motion, and touchscreen gestures are the primary ways in which users interact with websites …

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

2016 · arXiv (Cornell University)

The partially observable hidden Markov model is an extension of the hidden\nMarkov Model in which the hidden state is conditioned on an independent Markov\nchain. This structure is motivated by the presence of discrete metadata, such\nas …