Efficient Method to Message-Image Cryptography Using Reordered Image-Key
Why this work is in the frame
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Bibliographic record
Abstract
Color image may be secret or holding secret data, also secret messages may be so confidential.To protect these data, we have to use a simple and efficient method.In this research a method of data encryption-decryption will be presented.The suggested method will use a complicated PK to apply image encryption/decryption using XORing operation, the used image key will be reordered using a secret ordering sequence.Any modifications made to the PK during the decryption process will be regarded as a hacking attempt and result in corrupted decrypted data; hence, the encryption and decryption processes must employ the same secret information.The PK will provide an enormous key space that could resist any type of hacking attempts.The suggested method will be tested and the obtained results will be compared with those of DES and AES, the throughputs and speedup will be calculated.It will be shown how easily we can use encrypt decrypt color images with any size using a fix image key, and it will be shown how the suggested method maintain desirable values of MSE and PSNR parameters.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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