RFID encryption scheme featuring pseudorandom numbers and Butterfly seed generation
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 emphasis on security in Radio Frequency Identification (RFID) systems is increasing with each passing day, owing to their corresponding increase in popularity in defence, anti-counterfeiting, logistics and medical applications. However, resource restrictions on RFID tags curtail the use of sophisticated algorithms to achieve better security, and therefore, privacy. Much of the current work has focused on either creating new lightweight cryptosystems specifically for RFID applications or adapting some of the existing techniques for use in RFID applications. Our proposal is a new encryption scheme that uses pseudorandom number generators, a strategic way of updating their seeds and system state identifiers to accomplish security. The focus of our work has been better security, with re-use and simplicity. We evaluate our work using simulation, protocol analysis and security analysis.
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 | 0.000 | 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