Secure Optical Communication Using a New 5D Chaotic Stream Segmentation
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
According to its complex properties like ergodicity, unpredictability, and sensitivity to its initial states, chaotic systems are attracting more and more attention and are widely used for security purposes. Moreover, the chaotic signals are considered suitable for spread spectrum modulation due to their wideband properties. It is able to reduce the peak to average power ratio (PAPA). This paper presents a new Dynamic Diffeo-Difference Multi-Dimensional (DDD-MD) system. It is used as a key for a new cryptosystem designed based on the chaotic stream segmentation (CSS) method. The proposed system provides the best trade-off between efficiency, robustness, and high data rate transmission. The behavior of the proposed chaotic system is evaluated numerically by analyzing the Lyapunov exponent spectrum, complexity, and attractor phase diagram. Besides, it is practically assessed based on the principle of system circuit design; the circuit diagram of the system is prepared and simulated by Multisim, which shows high consistency with the numerical simulation. These evaluations show that the proposed system has a rich dynamics behavior to be realized in an encryption system and provides a foundation for many engineering and physical applications.
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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) | 0.000 | 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 | 0.001 |
| 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 it