HoBACDSL: HoBAC-focused Access Control Domain Specific Language
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Access control (AC) in IoT (Internet of Things) systems presents significant challenges. These systems are evolving, heterogeneous, and dynamic, combined with the lack of appropriate tools to specify and design Access Control Policies (ACP). Despite various proposals, complexity persists, especially in restrictive environments like IoT. In this perspective, Higher-Order Attribute-Based Access Control (HoBAC) was proposed as a general AC model that extends Attribute Based AC (ABAC). It allows the design of flexible AC models and policies applicable to IoT and non-IoT systems. The work presented in this paper focuses on addressing the need for tools to support the adoption of HoBAC for IoT systems by proposing HoBACDSL, a Domain Specific Language (DSL). HoBACDSL abstracts the complexities of HoBAC and makes its concepts more accessible. We illustrate how this DSL is concretely used to specify, and generate AC policies in the Extensible Access Control Markup Language (XACML) standard for a Smart Home use case.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 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 it