Capturing Cognitive Fingerprints for Active Authentication

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2014
Accession Number
ADA611005

Entities

People

  • Jien Chang

Organizations

  • Iowa State University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Application Software
  • Authentication
  • Biometrics
  • Computer Programs
  • Computers
  • Fingerprints
  • Graphical User Interface
  • Machine Learning
  • Mobile Application Software
  • Mobile Devices
  • Mobile Phones
  • Mobile Software
  • Smartphones
  • User Interface
  • Web Browsers

Readers

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