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MavSec: A safer version of MavLink

2024· article· en· W4400727880 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldDecision Sciences
TopicScientific Computing and Data Management
Canadian institutionsWestern University
Fundersnot available
KeywordsSAFERComputer scienceComputer security

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.721
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.005

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.

Opus teacher head0.120
GPT teacher head0.404
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations5
Published2024
Admission routes1
Has abstractyes

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