Event-triggered Resilient Control Design for a Group of Connected AUVs in the Presence of DoS Attack
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, a resilient controller is designed for connected autonomous vehicles against Denial of Service (DoS) attacks. The controller utilizes a sliding mode control structure, in conjunction with an event-triggered mechanism to reduce the network burden. The stability analysis is conducted using Lyapunov theory. The proposed controller aims to maintain the stability and performance of the connected autonomous vehicle system in the presence of DoS attacks, by continuously adjusting the control inputs and by reducing the network burden by using the event-triggered mechanism. The proposed approach is applied to the steering control subsystem of Autonomous Underwater Vehicles, and the obtained results show that the proposed controller can effectively mitigate the impact of DoS attacks, reduce the network burden, and maintain the stability of the connected autonomous vehicles.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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