Applying transmission-coverage algorithms for secure geocasting in VANETs
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
Existing geocasting algorithms for VANETs provide either high availability or security, but fail to achieve both together. Most of the privacy preserving algorithms for VANETs have low availability and involve high communication and computation overheads. The reliable protocols do not guarantee secrecy and privacy. We propose a secure, privacy-preserving geocasting algorithm for VANETs, which uses direction-based dissemination. Privacy and security are achieved using public key encryption and authentication and pseudonyms. To reduce communication overheads resulting from duplication of messages, we adapt a transmission-coverage algorithm used in mobile sensor networks, where nodes delay forwarding messages based on its uncovered transmission perimeter after neighbouring nodes have broadcast the message. Our analysis shows that our protocol achieves a high delivery rate, with reasonable computation and communication overheads.
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 | 0.001 | 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 | 0.000 | 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