Ron Krestel

ORCID: 0009-0005-5472-261X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • 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...

10.1109/bigdata59044.2023.10386557 article EN 2021 IEEE International Conference on Big Data (Big Data) 2023-12-15

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...

10.48550/arxiv.2401.16559 preprint EN arXiv (Cornell University) 2024-01-29

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...

10.2139/ssrn.4743934 preprint EN 2024-01-01

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...

10.48550/arxiv.2412.20530 preprint EN arXiv (Cornell University) 2024-12-29
Coming Soon ...