Ron Krestel
- User Authentication and Security Systems
- Security and Verification in Computing
- Advanced Authentication Protocols Security
- Cloud Data Security Solutions
- Access Control and Trust
- Cognitive Functions and Memory
- Advanced Malware Detection Techniques
- Biometric Identification and Security
- Emotion and Mood Recognition
Regensburg University of Applied Sciences
2023
Institute, Warsaw, Poland This paper describes the results of IEEE BigData 2023 Keystroke Verification Challenge <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> (KVC), that considers biometric verification performance Dynamics (KD), captured as tweet-long sequences variable transcript text from over 185,000 subjects. The data are obtained two largest public databases KD up to date, Aalto Desktop and Mobile Databases, guaranteeing a...
This paper describes the results of IEEE BigData 2023 Keystroke Verification Challenge (KVC), that considers biometric verification performance Dynamics (KD), captured as tweet-long sequences variable transcript text from over 185,000 subjects. The data are obtained two largest public databases KD up to date, Aalto Desktop and Mobile Databases, guaranteeing a minimum amount per subject, age gender annotations, absence corrupted data, avoiding excessively unbalanced subject distributions with...
This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing), on which researchers can easily benchmark their systems in a common platform using large-scale public databases, Aalto University and standard experimental protocol. The keystroke data consist of tweet-long sequences variable transcript text from over 185,000 subjects, acquired through desktop mobile keyboards simulating real-life conditions. results evaluation set KVC-onGoing have proved high discriminative...
This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing), on which researchers can easily benchmark their systems in a common platform using large-scale public databases, Aalto University and standard experimental protocol. The keystroke data consist of tweet-long sequences variable transcript text from over 185,000 subjects, acquired through desktop mobile keyboards simulating real-life conditions. results evaluation set KVC-onGoing have proved high discriminative...