Guessing click-based graphical passwords by eye tracking
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Click-based graphical passwords are a new method of authentication where passwords are created and entered by clicking in particular places on an image. This paper presents a study that investigated eye tracking as a potential threat to the security of such passwords. If the gaze data from people looking at an image resembles the click-points of other people's passwords, then covert eye tracking might be used to create dictionaries to effectively guess passwords. The study used an eye tracker to record the participants' gaze as they looked at images that had been used as the basis for passwords in an earlier study. We then compared the eye tracker data with the actual password click-points gathered during the earlier study, and conducted several forms of analysis to determine the likely success of guessing passwords. The eye tracker data did somewhat resemble the password click-points, and might offer attackers an advantage over guessing at random. The effectiveness shown for this approach was limited, however, although might allow improvement that would result in greater danger, especially if gaze data could be gathered without explicit interaction.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it