We are concerned with the authentication of a remote user. As online classes gain a larger share of the educational market, it becomes necessary to verify that the person taking a test is actually the student enrolled in the class. Research has already shown that keystroke biometrics can aid in identification of an individual. Unfortunately, most online tests are multiple choice or true/false. These tests typically require little typing, because the user is selecting answers by moving to and clicking on a screen location. By tracking the movement of the mouse through different arcs it should be possible to authenticate (verify) the identity of the user, at least to some extent. The comparison would be made against an existing profile, just as has been successfully done with keystrokes. Additionally, mouse movement biometrics could be used to enhance or augment keystroke biometrics. A related technical paper from the literature is: User Re-Authentication via Mouse Movements.
This semester's project will have two primary focuses. First, we will become familiar with the system and collect as much additional data as possible, including data from each team member. In addition to collecting data from a fixed button sequence, we might try a random button sequence or possible simulate a test involving the choice of a button for each of a series of questions (a perfect score would correspond to a fixed sequence of buttons). Second, and following what we did last semester, we will format the feature-vector data for ease of processing by the Biometric Authentication System team, see Feature Data Format.