Bibliographic record
Abstract
The MavLink protocol is a lightweight communication protocol used for communication between unmanned aerial vehicles (UAVs) and the ground control station (GCS). The contents of the MavLink payload might include sensitive information, including mission details and the geographical coordinates of the drone. Nonetheless, due to the lack of encryption support in the MavLink protocol, the payload can be readily obtained and modified by an attacker. This study introduces an enhanced protocol called MavLink Secure (MavSec) that provides built-in support for payload encryption. Furthermore, we have also incorporated the secure key exchange process. Then, our proposed protocol was tested with various encryption algorithms (AES, RC4, ChaCha20, PRESENT, RECTANGLE) implemented in C++. Next, we proceed to evaluate the performance metrics with peak memory usage and average delay time on two separate machines. The results of experiments indicate that ChaCha20 has better overall performance in comparison to other encryption algorithms. The integration of ChaCha20 with MavSec has resulted in enhanced levels of confidentiality, integrity, and authenticity compared to the unprotected MavLink protocol.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.014 |
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 source (direct Gemma or distilled Codex), 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".