IBAKE: Identity-Based Authenticated Key Exchange Protocol.
Why this work is in the frame
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Bibliographic record
Abstract
The past decade has witnessed a surge in exploration of cryptographic concepts based on pairings over Elliptic Curves. In particular, identity-based cryptographic protocols have received a lot of attention, motivated mainly by the desire to eliminate the need for large-scale public key infrastructure. We follow this trend in this work, by introducing a new Identity-Based Authenticated Key Exchange (IBAKE) protocol, and providing its formal proof of security. IBAKE provides mutually-authenticated Key Exchange (AKE) using identities as public credentials. One identity-based AKE subtlety that we address in this work is the resilience to the man-in-the-middle attacks by the Key Management Service. For efficiency, we employ two Elliptic Curves with differing properties. Specifically, we use a combination of a super-singular and non-super-singular curves, where the super-singular curve is used as an identity-based encryption “wrapper” to achieve mutual authentication, and the resulting session key is based on a Diffie-Hellman key exchange in the non-super-singular curve. We provide a detailed proof of security of the resulting protocol with respect to (our own natural adaptation and simplification of) the AKE definitions of Kolesnikov and Rackoff.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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