Efficient Authentication Mechanism for PEV Charging Infrastructure
Why this work is in the frame
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Bibliographic record
Abstract
Plug-in electric vehicles (PEVs) will not only have a substantial influence on the emerging smart grid system but also create numerous challenges for the utility and customer to deal with their connections and charging. Authentication and authorization processes are critical elements to enable mass deployment of charging stations and to provide authorized customers to access the charging facility. Works on authentication system for PEV charging infrastructure are limited, and are mainly based on centralized architectures. In this paper, we propose a comprehensive decentralized authentication mechanism for PEV charging infrastructure in order to overcome shortcomings of the centralized authentication system and to provide robust authentication in multi-server environment. We present system analysis including analysis of security and functional requirements. Compared to the prevailing centralized scheme, the proposed system reduces authentication latency and is more efficient and robust.
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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