Capturing Cognitive Fingerprints for Active Authentication
Final technical rept. Sep 2013-Apr 2014
IOWA STATE UNIV OF SCIENCE AND TECHNOLOGY AMES
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This project intended to capture the cognitive fingerprints from individuals and use it as a biometric for continual authentication. This project proposed studying new biometric modalities for desktop TA1a and mobile devices TA1b in the first year and fusion methods for integration of modalities in the optional second year. For desktop computers, we developed Google Chrome plug-in to extract behavioral biometrics from mouse dynamics and web browsing behavior. The attribute of mouse biometrics is complementary to the one from keystroke from phase 1 of this project and offers great opportunity for integration in TA1a. For mobile devices, we developed an app containing 6 sub-apps with a variety of tasks to derive behavioral biometrics from gestures, virtual keyboards and sensors. The project ended before the IRB application was approved.
- Computer Programming and Software
- Biomedical Instrumentation and Bioengineering