A Design by Contract Approach to Verify Access Control Policies
Bibliographic record
Abstract
In the security domain, access control (AC) consists in specifying who can access to what and how, with the four well-known concepts of permission, prohibition, obligation and separation of duty. In this paper, we focus on role-based access control (RBAC) models and more precisely on the verification of formal RBAC models. We propose a solution for this verification issue, based on the use of the Tam ago platform. In Tam ago, functional contracts can be defined with pre/post conditions and deterministic automata. The Tam ago platform provides tools for static verifications of these contracts, generation of test scenarios from the abstract contracts and monitoring facilities for dynamic analyses. We have extended the platform to take into account AC aspects. AC rules, expressed in a subset of EB3SEC, a process algebra-based language, are translated into pre and post conditions of new security contracts. We have also adapted the test case generator to derive suitable test scenarios and the monitoring framework by adding a new security component.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".