Two new message authentication codes based on APN functions and stream ciphers
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Bibliographic record
Abstract
Abstract After the concept of the active wiretapper was proposed, integrity protection became more important than ever before. Therefore, message authentication code, a method that protects the message from being modified in an undetectable way, attracts more attention nowadays. In this paper, we propose two new message authentication codes based on almost perfect nonlinear functions and stream ciphers. The security of both new constructions is proved by giving upper bounds of the probability of the successful substitution forgery attacks against our new message authentication codes, and these upper bounds are negligible. We implement our algorithms and compare their time consumption with the time consumption of EIA1, the message authentication code used in the 4G LTE system. The results show that our algorithms are overwhelmingly faster than EIA1. Moreover, our new constructions are resistant to cycling and linear forgery attacks, which can be applied to EIA1. Copyright © 2016 John Wiley & Sons, Ltd.
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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 | 0.000 | 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 it