Quality and Security Frameworks for IoT-Architecture Models Evaluation
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
Abstract The concept behind IoT is as powerful as it is complex, and for the entities and modules in the IoT solution to mesh together perfectly, they all must be part of a well-thought-out structure. That is where accomplishing a deep understanding, IoT architecture becomes paramount given the complexity of IoT domains and platforms. In this paper, we present a comparative analysis of IoT-architecture models based on IoT reference architecture proposed by ISO. Herewith, the paper aims at establishing a common grounding and language based on the business adoption reference IoT architecture vis-á-vis a standard model ISO/IEC 30141. We built an Analysis Architecture Quality Security Model-AAQSM based on quantitative metrics and scoring methods we have defined in reference to criteria standards. AAQSM helped unify evaluation metrics critical to fulfilling specific quality and security attribute requirements and classify architecture models by score.
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.
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 | 0.005 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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