RIN: A dynamic pseudonym change system for privacy in VANET
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
Summary We propose in this paper a security protocol based on a dynamic change of pseudonym for privacy and anonymity in Vehicular Ad hoc NETworks (VANET). Our proposal ensures privacy for the driver and his vehicle whether he is the transmitter or receiver of the message. By handling all possible cases of changes in vehicles behavior during traffic, we ensure a safe and secure traffic management. We built the architecture of our solution on three essential entities designed for VANET: a trusted authority, a Road Side Unit, and vehicles. Our pseudonym change system ensures anonymity at any time, anywhere, with any speed of a vehicle, in all directions of a vehicle, in any environment (highway or urban), with any traffic density, independently of neighboring vehicles, and changes in vehicles behavior. In three steps, anonymity, integrity, and confidentiality are guaranteed by our RIN (Real Initial New) protocol. Our protocol blocks attacks as DOS and Sybil. Results obtained by the simulations show the efficiency of our solution. Compared with other relevant approaches from the literature, the results confirm the credibility of our protocol regarding to the privacy assurance in VANET.
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 | 0.000 | 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 | 0.001 |
| 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 it