Post-Quantum Based Oblivious Transfer for Authentication in Heterogeneous Internet of Everything
Bibliographic record
Abstract
Quantum security in multi-party authentication is a critical aspect to be addressed in Internet of Everything (IoE), especially when considering the possible future network attacks by the usage of quantum computers. To ensure an invulnerable multi-party computation, the Post-quantum based Oblivious Transfer for authentication in heterogeneous internet of everything Systems (POTS) protocol proposed in this paper integrates 1-out-n oblivious transfer along with the post-quantum encryption to preserve the network from suspicious parties during communication. The protocol further intends to evaluate resilience by considering various metrics namely, hit ratio, execution time and memory consumption, in order to attain considerable accuracy in an IoE environment. The POTS protocol achieves an execution time of 66.69 seconds, device memory consumption of 131.95 MB and hit ratio of 20.46% for the session size of 300.
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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 | 0.001 |
| 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".