Hardware Design and Analysis of Statistical Cipher Feedback Mode Using Serial Transfer
Bibliographic record
Abstract
In this paper, the hardware design of a recently proposed mode of operation for a block cipher, referred to as statistical cipher feedback (SCFB), is investigated. Specifically, we examine a structure which employs serial transfer from the plaintext queue to the ciphertext queue. SCFB mode is the hybrid of output feedback (OFB) mode and cipher feedback (CFB) mode that allows a block cipher to be configured as a self-synchronizing stream cipher. Consequently, SCFB mode feeds back ciphertext to the input of the block cipher similar to the conventional CFB mode, except that the feedback only occurs when the n bit sync-pattern is recognized thus making SCFB more efficient in its implementation than conventional CFB mode. An iterative based implementation of the advanced encryption standard (AES) is investigated and the relationship among three different clock domains associated with a serial transfer implementation is studied based on the synthesis results for various components of the system, as is the system efficiency. From simulations, an appropriate buffer size which minimizes queue overflow is selected for the design. The design is synthesized as an ASIC targeted to 0.18 CMOS standard cell technology. From the synthesis result, the throughput of the SCFB system is determined to be 100 Mbps. The total area of the SCFB system is approximately 41600 gates, of which 16900 is for AES.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".