This is the last of a four-part series of posts presenting results of a project sponsored by an SBIR Phase I grant from the US Department of Homeland Security. These posts do not necessarily reflect the position or the policy of the US Government.
We have just published a paper presenting the last three of the five solutions that we have identified in the research project on remote identity proofing that we are now finalizing. Solutions 3–5 use Near-Field Communication (NFC) technology for remote identity proofing. Each of the solutions uses a preexisting NFC-enabled hardware token designed for some other purpose as a credential in remote identity proofing. A native app running on an NFC-enabled mobile device serves as a relay between the NFC token and the remote verifier.
In Solution 3 the token is a contactless EMV payment card. In Solution 4, the token is a medical identification smart card containing a private key and a certificate that binds the associated public key to attributes and a facial image. In Solution 5, the token is an e-Passport with an embedded RFID chip that contains signed data comprising biographic data and a facial image.
In solutions 4 and 5 a native app submits to the verifier an audio-visual stream of the subject reading prompted text. The verifier matches the face in the video to the facial image in the NFC token, uses speech recognition technology to verify that the subject is reading the text that was prompted, and verifies that the audio and video channels of the stream are in synchrony by matching distinguishable visemes in the video channel to phonemes in the audio channel.
See also:
- The Remote Identity Proofing page, with links to other materials related to the project.