Resilient Design of Networked Control Systems Under Time Delay Switch Attacks, Application in Smart Grid
Why this work is in the frame
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Bibliographic record
Abstract
Industrial control systems are distributed hierarchical networks that share information via an assortment of communication protocols. Such systems are vulnerable to attacks that can cause disastrous consequences. This article focuses on time delay switch (TDS) attacks and shows that cryptographic solutions are ineffective in recovering from the denial of service component of TDS attacks. Therefore, a cryptography-free TDS recovery (CF-TDSR) communication protocol enhancement is developed that leverages adaptive channel redundancy techniques and a novel state estimator, to detect and recover from the destabilizing effects of TDS attacks. Simulation results are conducted to prove that CF-TDSR ensures the control stability of linear time invariant systems and to show the efficacy of CF-TDSR against attacks deployed on multi-area load frequency control components of a distributed power grid.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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