Bibliographic record
Abstract
This paper analyzes access control mechanisms of the Enterprise Java Beans (EJB) architecture and defines a configuration of the EJB protection system in a more precise and less ambiguous language than the EJB 3.0 standard. Using this configuration, the authors suggest an algorithm that formally specifies the semantics of authorization decisions in EJB. The level of support is analyzed for the American National Standard Institute’s (ANSI) specification of Role-Based Access Control (RBAC) components and functional specification in EJB. The results indicate that the EJB specification falls short of supporting even Core ANSI RBAC. EJB extensions dependent on the operational environment are required in order to support ANSI RBAC required components. Other vendor-specific extensions are necessary to support ANSI RBAC optional components. Fundamental limitations exist, however, due to the impracticality of some aspects of the ANSI RBAC standard itself. This paper sets up a framework for assessing implementations of ANSI RBAC for EJB systems.
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.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".