Authenticating displayed names in telephony
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
In both traditional and Internet Protocol (IP) telephony, a caller ID number is subject to control and verification, whereas the displayable caller ID name is a convenience feature which operators have no control over. It may be arbitrarily set by the caller. Voice phishing can exploit this weakness-e.g., make a call spoofing the name of a bank and ask for account information. We present a framework that allows each call participant to authenticate the displayed name of other parties via public name registries and International Telecommunication Union Telecom Standardization Sector (ITU-T) X.509 certificates. The authentication can work end-to-end, on-demand, for both called and calling party's name, for Voice over Internet Protocol (VoIP), landline, or mobile endpoints. The framework is flexible, does not require global public key infrastructure (PKI), and allows concerned financial, medical, and legal institutions to delegate the use of their authenticated names to employees outside the office as well as outsourcing companies. A proof-of-concept implementation is also presented.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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