Secured distributed discovery services in the EPCglobal network
Bibliographic record
Abstract
The EPCglobal Network is a global network developed to ensure global interoperability between trading partners in supply chains. Its main goal consists of providing real-time and accurate traceability of items in the supply chains. One of the major building blocks of the EPCglobal Network is the Object Naming Service (ONS) which is a central lookup service used mainly to locate the EPC manager information sources of a given EPC. Discovery services refer to a suite of services enabling any user, subject to authentication, to retrieve all relevant data, subject to access control policies, related to a given EPC in the EPCglobal Network. Many promising DHT-based distributed and secure architectures have been proposed to make the ONS more scalable and more secure than the current ONS specifications. Some of them focused on improving a specific aspect of the existing ONS architecture while others suggested integrated solutions for various weaknesses of the current ONS system. In this paper, we present a DHT-based, scalable and secure architecture for data lookup in the EPCglobal Network. The proposed architecture aims at replacing the current ONS system with a secure distributed Discovery Services system.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| 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".