Repérez le piratage : Systèmes de détection d’intrusion pour réseaux avioniques en utilisant l’apprentissage automatique
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
MIL-STD-1553B est une norme dfinissant un ensemble d'exigences qui couvrent tous les aspects d'un bus de donnes, des aspects mcaniques aux aspects lectriques et fonctionnels. Le bus visait interconnecter via un seul support les sous-systmes avioniques. Plusieurs services et sous-traitants militaires ont adopt MIL-STD-1553 comme bus de donnes avionique en raison de son assurance d'intgrit des donnes. Cependant, de nouveaux travaux de recherche ont montr un ensemble de vulnrabilits de scurit de ce bus. Cet article prsente la cration de Systme de Dtection d'Intrusions (SDI) efficace pour les rseaux avioniques et les technologies de bus utiliss dans l'industrie spatiale et arospatiale. ABSTRACT. The MIL-STD-1553B is a standard defining a set of requirements which cover all aspects of a serial multiplex data bus, from mechanical to electrical and functional aspects. The bus aimed to interconnect avionics subsystems via a single medium. Several military services and contractors adopted MIL-STD-1553 as an avionics data bus due to its data integrity insurance. However, new research work has demonstrated a set of security vulnerabilities for this bus. This paper presents the creation of effective intrusion detection systems (IDS) for avionics networks and bus technologies used within the aerospace and space industry. MOTS-CLS.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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