Comparative Analysis and Framework Evaluating Mimicry-Resistant and\n Invisible Web Authentication Schemes
Bibliographic record
Abstract
Many password alternatives for web authentication proposed over the years,\ndespite having different designs and objectives, all predominantly rely on the\nknowledge of some secret. This motivates us, herein, to provide the first\ndetailed exploration of the integration of a fundamentally different element of\ndefense into the design of web authentication schemes: a mimicry-resistance\ndimension. We analyze web authentication mechanisms with respect to new\nusability and security properties related to mimicry-resistance (augmenting the\nUDS framework), and in particular evaluate invisible techniques (those\nrequiring neither user actions, nor awareness) that provide some\nmimicry-resistance (unlike those relying solely on static secrets), including\ndevice fingerprinting schemes, PUFs (physically unclonable functions), and a\nsubset of Internet geolocation mechanisms.\n
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".