SIMON 32/64 and 64/128 block cipher: Study of cross correlation and linear span attack immunity
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
Power and computing limitations hinder the ability of many devices to support stringent security protocols. Smart sensors, RFID tags, and wearable devices are typical examples of such devices. Lightweight cryptography is concerned with the design and implementation of cryptography algorithms in environments with limited computing and power resources. This paper presents a realization of a hardware efficient lightweight cryptography block cipher SIMON in C/C++ (SIMON 32/64 and 64/128). Analysis is performed in order to investigate its input/output cross correlation and among output sets. The proposed block cipher's immunity to linear span attacks is also investigated using the Berlekamp-Massy algorithm. It is concluded that the proposed block cipher is not immune to linear span attacks, as the analysis has shown a linear span for certain components to be less than N/2, with a profile of probability of 1/3 in 1 million iterations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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