The effectiveness of brute force attacks on RC4
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
The security of encryption algorithms depends heavily on the computational infeasibility of exhaustive key-space searches. We use the RC4 cipher, utilized primarily in the area of data communications, as a test case for determining the effectiveness of exhaustive key-searches implemented on FPGAs using a network on chip (NoC) design architecture. Preliminary results show that a network of key-checker units implemented on a Xilinx XC2V1000 FPGA using Celoxica DK2 design tools can exploit the speed and parallelism of hardware such that the entire key-space of a 40-bit RC4 encryption can be searched in minutes. Furthermore, it has been found that the clock rate of the circuit diminishes as the number of key-checker units increases. Future work is proposed to find a method for predicting an optimal balance between the size of the network (number of key-checker units) and the clock rate in order to maximize performance.
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 | 0.001 | 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 | 0.000 |
| 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