PGP Auth: Using Public Key Encryption for Authentication on the Web
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
The majority of authentication systems use text passwords, as they provide a flexible method of authenticating on a wide variety of devices. Unfortunately, having suffi- ciently strong passwords does not protect users against phishing or offline guessing attacks. In this thesis, we present a new authentication mechanism that uses PGP. We iteratively designed PGP Auth, implemented it, and conducted user testing. Users rated the software highly and indicated that they would be very likely to use the software. They also liked the idea of having a single password to access their accounts and appreciated the security of using PGP as an authentication system. We believe that with a refined user interface, PGP Auth is a viable authentication mechanism that addresses many of the security vulnerabilities of traditional text password authentication. We also provide recommendations to aid in the development of future versions of PGP Auth based on our results.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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