A financial institution's legacy mainframe access control system in light of the proposed NIST RBAC standard
Bibliographic record
Abstract
In this paper we describe a mainframe access control system (DENT) and its associated delegated administration tool (DSAS) that were used in a financial institution for over 20 years to control access to banking transaction products. The first part of this paper describes the design and operation of DENT/DSAS as an example of a long-lived access control system in a financial institution. A standard for role-based access control (RBAC) has recently been proposed by the United States National Institute of Standards and Technology (NIST). The second part of this paper discusses how the functionality of DENT/DSAS could be achieved by applying its principles of operation within the NIST model. In so doing we also evaluate the proposed standard by validating it against the requirements embodied in a successful access control system. We conclude with some observations about the design of DENT/DSAS and suggestions for changes in the proposed RBAC standard to accommodate some features of DENT/DSAS that it does not appear to support.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".