IDUP and SPKM: developing public-key-based APIs and mechanisms for communication security services
Bibliographic record
Abstract
In this paper we discuss progress in the development of application program interfaces (APIs) and mechanisms which provide a comprehensive set of security services to application developers. The APIs, though similar, are designed for distinct environments: the session API ("GSS") is aimed at the on-line real-time messaging environment; the store-and-forward API ("IDUP") is particularly suited to electronic-mail types of environments (where messages are secured independently of any an-line communication with intended recipients of those messages). Both APIs are designed to be easy to use, yet with appropriate public-key-based mechanisms (such as SPKM and PIM) include many necessary services for communication security, such as data origin authentication, data confidentiality, data integrity, and support for non-repudiation. A full key management and certification infrastructure can be provided by implementations of these APIs/mechanisms in a way which is completely transparent to the calling application thus ensuring maximum flexibility and scalability to future environments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.008 | 0.016 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".