AIS Authentication Using Certificateless Cryptography
Bibliographic record
Abstract
ABSTRACT: The Automatic Identification System (AIS) is a maritime situational awareness system, designed as a collision avoidance tool to increase security at sea. Widely accepted, its data is now used for various applications, from maritime traffic predictions to the environmental effects of noise pollution. However, the AIS has been designed without security in mind and does not embed any authentication strategy. Research has shown how this lack of authentication could lead to disastrous consequences. Authentication AIS is thus an active research field, but the constraints imposed by the AIS network require subtle protocol design and careful use of new cryptographic technologies. This work proposes an authentication scheme for the AIS using the advantages of certificateless cryptography. The scheme is backward-compatible with standard AIS versions. We evaluate the performance and security of our proposed scheme through simulations and theoretical analysis. Our results show that our scheme provides strong security guarantees and efficient performance, making it a promising candidate for authenticating AIS signals in practice.
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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 | 0.001 |
| 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) | 0.001 | 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".