Lightweight Security and Privacy Preserving Scheme for Smart Grid Customer-Side Networks
Why this work is in the frame
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Bibliographic record
Abstract
Information security and customers' privacy in smart grid are significant concerns. Existing security and privacy preserving schemes consider that the consumption reports for electricity consumption aggregation and billing purposes are sent periodically. These periodic messages increase the computation and communication burden on restricted-capabilities smart meters. In this paper, we propose a lightweight security and privacy preserving scheme that is based on forecasting the electricity demand for a cluster of houses in the same residential area; it limits the cluster's connection with electricity utility only when the cluster needs to adjust its total demand. The scheme efficiently satisfies the security and privacy requirements in customer-side networks, i.e., communication between customers and power utility. At the same time, it significantly reduces the communication and computation overhead. Moreover, the proposed scheme utilizes NTRU cryptosystem to further reduce the computation complexity.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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