Multi-domain Public key infrastructure for Vehicle-to-Grid network
Bibliographic record
Abstract
Smart grid is a modern electrical grid that utilizes Information and Communication Technologies (ICT) and information networks. Growing attraction in Electric Vehicles (EV) shall likely provide a fundamental shift not only in transportation sector but also in the existing electrical grid infrastructure. In Vehicle-to-Grid (V2G) network, participating EVs can be used to store energy and supply this energy back to the power grid when required. To realize proper deployment of V2G network, charging infrastructure having various entities such as charging facility, clearinghouse, and energy provider has to be constructed. So use of Public key infrastructure (PKI) is indispensable for provisioning security solutions in V2G networks. The ISO/IEC 15118 standard is ascribed that incorporates X.509 PKI solution for V2G network. However, as traditional X.509 based PKI for V2G network has several shortcomings, we have proposed a multi-domain PKI model for V2G network that is built on elliptic curve cryptography and a self-certified public key technique having implicit certificate. We illustrate that the proposed solutions outperform the existing ones.
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.
How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".