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Found 8 papers, 2 papers with code
BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection
Different bot detectors are considered based on several supervised classifiers (Support Vector Machine, Random Forest, Gaussian Naive Bayes and a Long Short-Term Memory network) and a learning framework including human and synthetic samples.
Mobile Behavioral Biometrics for Passive Authentication
Current mobile user authentication systems based on PIN codes, fingerprint, and face recognition have several shortcomings.
SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation
This work presents a new deep learning approach for keystroke biometrics based on a novel Distance Metric Learning method (DML).
TypeNet: Deep Learning Keystroke Biometrics
We study the performance of Long Short-Term Memory networks for keystroke biometric authentication at large scale in free-text scenarios.
Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic
Behavioral biometrics can be powerful tools in this fight.
BeCAPTCHA-Mouse: Synthetic Mouse Trajectories and Improved Bot Detection
We propose two new mouse trajectory synthesis methods for generating realistic data: a) a function-based method based on heuristic functions, and b) a data-driven method based on Generative Adversarial Networks (GANs) in which a Generator synthesizes human-like trajectories from a Gaussian noise input.
TypeNet: Scaling up Keystroke Biometrics
We study the suitability of keystroke dynamics to authenticate 100K users typing free-text.
MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns
In this paper we evaluate mobile active authentication based on an ensemble of biometrics and behavior-based profiling signals.
