Loxin — A solution to password-less universal login
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
As the easiest and cheapest way of authenticating an end user, password based authentication methods have been consistently chosen by almost every new cloud service. Unfortunately, the explosive growth of cloud services and web applications has made it impossible for users to manage dozens of passwords for accessing different cloud services. The situation is even worse considering the potential application of massively parallel computing devices such as GPU and ASIC for efficient password cracking. Hence, from a usability viewpoint, passwords may have reached the end of their useful life. Motivated by a number of recent industry initiatives for online authentication, we present Loxin, an innovative solution for password-less universal login. Loxin aims to improve on passwords with respect to both usability and security. Loxin takes advantages of push message services for mobile devices and enables users to access multiple cloud services by using pre-owned identities, such as email addresses, together with few taps on their mobile devices. In particular, the Loxin server cannot generate users' login credentials, thereby eliminating the potential risk of server compromises. Loxin is resistant to the most common attacks on cloud services such as replay attacks and man-in-the-middle attacks. We also discuss possible extensions for protecting Loxin from vendor lock-in and single point of failure, in order to ensure Loxin to be an open and stable authentication system. The application of the proposed Loxin security framework to the recent MintChip Challenge demonstrates the power of Loxin for building a real-world password-less mobile payment solution.
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 | 0.000 | 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 | 0.002 |
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