Asymmetric disribution of computations in Internet Key Exchange Protocol
Bibliographic record
Abstract
IPsec security mechanism standard offers Internet key exchange protocol (IKEv2) for establishing and managing its secure sessions. In IKEv2 both two participants perform the same amount of calculations in all cases and this would cause some deficiencies, when it is used in different situations with different properties. For example in most of client-server connections it is more preferable for servers to do fewer operations in comparison with clients. In the other side in some connections, initiators are entities with less power of computing when comparing with responders. Mobile users are examples of such entities. In these connections, the initiators are the entities who need to perform fewer operations. To solve this problem, we propose two protocols with asymmetric schemes for distribution the calculations. In proposed protocols, one of the participants performs fewer computations, depending on the properties of connections. To achieve this asymmetric scheme, Schnorr signature scheme is used by the entity needs to perform fewer computations.
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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 | 0.001 | 0.002 |
| 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 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".