User Non-Repudiation Using the Eyes Pupil Behavior

UAH-P-14003-User Non-Repudiation Using the Eye's Pupil Behavior

Docket: UAH-P-14003


As the number of services that can be performed online increases, there is a growing need for better authentication and non-repudiation techniques. Commonly used methods utilize passwords or specific anatomical features, but these are susceptible to theft, hijacking, cracking, and replication. Current biometric methods also require intrusive registration and user awareness, rendering them inconvenient and unsuitable for covert identification.

Researchers at UAH have developed a system to perform online identity verification and authentication challenges as well as non-repudiation using the behavioral features of the eyes, pupil, and other parameters. The dynamic behavior of the eyes' components reveals brain control strategies unique to each individual. This ocular metadata can be gathered and processed using any commercially-available eye tracking device or software. An individual's ocular behavior can be gathered during online activity and stored as a user profile, which can then be utilized for identity verification and non-repudiation.

A noteworthy advantage of this system is that eye-pupil behavior cannot be counterfeited, making it more secure than spoof-able alternatives such as iris or fingerprint scanning. This system can also acquire user features non-intrusively and covertly.


  • Biometrics
  • Computer and web security
  • Banking
  • E-commerce
  • Intoxication detection


  • Non-intrusive identification method
  • Spoof-proof biometric
  • Can be used for stealth identification
  • Password-free non-repudiation and authentication


  • State of Development: Proof of concept
  • Licensing Status: Available for licensing
  • Patent Status: Patented