Florida Institute for Cybersecurity Research

Biometric authentication provides a promising alternative to traditional authentication methods. Biometrics are unique physical traits (fingerprint, iris, gait, DNA, etc.) that can be presented to an electronic system as a means of confirming a user’s identity. Compared to other authentication approaches, biometrics are more conclusive and cannot be guessed or stolen as easily.

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Research

Read more at Signal Online.

“You have more applications out there relying on biometrics for identity management, and because of this, there has been a bit of a rush in deploying technology. What we’re finding is that some of the performance we expected hasn’t really been achieved yet. There’s still a lot of progress to be made in biometrics.” - Dr. Woodard

Biometric Resources

  • The Biometric Consortium, supported by NIST and the NSA, exists to facilitate scientific and technical interchanges between the U.S. Federal government and outside entities on biometric and other identity technologies.

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  • Over the last ten years or so, face recognition has become a popular area of research in computer vision and one of the most successful applications of image analysis and understanding.

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  • The BCOE is the FBI’s program for exploring and advancing the use of biometric technologies and capabilities for integration into operations. The BCOE strives to deliver state-of-the-art biometric tools and technologies to law enforcement and intelligence personnel around the world.

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Research Interests

Dr. Woodard's research interests include a broad range of biometric / identity science, machine learning, artificial intelligence, text analytics,signal / image analysis topics. These include but are not limited to:
  • Artificial Intelligence
  • Image Analysis and Machine Learning Based Hardware Assurance
  • Profiling via Text Analytics and Natural Language Processing
  • Cognitive Biometrics (Author Attribution)
  • Biometrics Enabled Hardware Security
  • Adversarial Machine Learning