Comparison of selected cryptosystems using single-scale and poly-scale measures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper presents useful measures for comparison of distinct cryptosystems, including (i) the public-key cryptography RSA algorithm, (ii) the elliptic-curve cryptography ElGamal algorithm, (iii) a cryptosystem based on radio background noise (RBN), and (iv) a new cryptosystem based on chaos phenomena in cellular automata. The comparison is based on (i) a single-scale measure (i.e., the marginal probability mass functions (mpmf), and (ii) a poly-scale measure (i.e., the finite-sense stationarity, FSS10). Both comparison approaches use the same plaintext and computational power when testing the four cryptosystems. This paper shows experimentally that the chaos based modular dynamical cryptosystem is (i) strong to single-scale statistical cryptanalysis by leaving no patterns in the ciphertexts, (ii) strong to poly-scale cryptanalysis by having a smaller stationarity window than the alternative cryptosystems, and (iii) faster than the selected algorithms from RSA, ElGamal, and natural sources of randomness (RBN).
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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