Customizing IETF RFC 6280 Geopriv for Compliance of Wi-Fi Positioning System APIs with Privacy Laws
Bibliographic record
Abstract
This paper proposes a customization of the IETF RFC 6280 Geopriv to facilitate compliance of Wi-Fi positioning systems with existing privacy regulations. It is shown that APIs of existing Wi-Fi positioning systems, based on the distribution phase of the IETF RFC 6280 Geopriv, do not fully protect location privacy of a user of an IEEE 802.11 (Wi-Fi) enabled device. The existing controls of the WiPS are compared with requirements of privacy regulations. To address gaps identified in these controls, the RFC 6280 architecture is modified to include design rules into the rule maker component. We also show that existing WiPS privacy protecting controls should be enhanced to be in compliant with this modified Geopriv which significantly enhances users control over location privacy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".