Information Flow Analysis in Role-Based Security Systems
Bibliographic record
Abstract
This paper examines the application of information flow analysis to rolebased protection systems. Starting with basic information flow axioms and a security policy, we propose a means of ensuring that a given role-based scheme is consistent with the specified security policy. The proposed method uses graph theory and, in particular, treats this problem as an instance of subgraph isomorphism to determine the consistency of a role-based scheme with a given security policy. Keywords: Security policy, information flow, role, role-based protection, subgraph isomorphism. 1 Introduction Role-based security is a flexible means of managing large numbers of access rights. A role is a named collection of privileges [2, 14, 21] where a privilege is a unit of access to system information. User-role authorization grants the user access to the privileges defined in the role. 1 This work was supported in part by a grant from the Natural Science & Engineering Research Council of Canada. 1369 Rol...
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".