Study Title: Random Keystroke Dynamics for Pattern Recognition and Authentication Modeling

Identifying Individuals Through Random Keystroke Patterns

Conference Presentations

Random Keystroke Dynamics for Pattern Recognition and Authentication Modeling Presented

Jacqueline Blake · NERCCS 2026, the Ninth Northeast Regional Conference on Complex Systems · University of Rochester · Spring 2026

Presented preliminary findings on using unstructured, random keystroke timing (dwell time, flight time, and inter-key intervals) as a behavioral biometric for continuous user authentication, and outlined the data collection methodology used in this study.

Journal Submissions

Manuscript in preparation In Preparation

Target venues: peer-reviewed journals in complex systems science

This research is being developed into a full manuscript for submission to journals focused on complex systems and behavioral biometrics. This page will be updated with a link and full citation once a manuscript has been submitted and accepted.

About Our Faculty Advisor

Dr. Sayama's broader body of research in complex systems science informs the theoretical foundation of this study. The publications and affiliations below reflect his ongoing, independent research program and are not outputs of this specific study.

Hiroki Sayama, D.Sc.

SUNY Distinguished Professor, School of Systems Science and Industrial Engineering
Director, Binghamton Center of Complex Systems (CoCo)
Director, Graduate Program in Systems Science
Director, Advanced Graduate Certificate Program in Complex Systems Science and Engineering
Binghamton University, State University of New York
Professor (non-tenure-track), Faculty of Commerce, Waseda University
External Faculty, Vermont Complex Systems Institute, University of Vermont
Visiting Professor, School of Sciences, Christ University Pune/Lavasa Campus, India

📧 sayama@binghamton.edu
🔗 Faculty Page & Full Publication List
🔗 Binghamton Center of Complex Systems (CoCo)

A Note on This Page

This research program is in an early, active stage — the NERCCS 2026 presentation above reflects preliminary work, and the data collection described on this site is ongoing. Check back for updates as findings are finalized and submitted for peer review.