Enhanced Security in Information Transmission: Redundant Stream Ciphers with Time Delay Integration
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 paper addresses the challenge of enhancing the resilience of stream ciphers against attacks.It reviews existing approaches to stream cipher creation and proposes new methods that incorporate time delays to introduce gaps in the original message and embed additional bits.These methods result in a ciphertext that is longer than the original message, potentially altering the frequency if the overall transmission time is equalized.The paper explores methods that generate ciphers with varying lengths of bit insertion, enabling the creation of different length ciphers from a single input message.A method featuring frequent insertion of single bits, generated by additional pseudo-random number generators (PRNG), is implemented.The study examines both variable-length ciphergrams and fixed maximum insertion bit methods.A pseudo-random control bit sequence is employed to determine random insertion points or groups of additional bits, which are also generated pseudorandomly.To facilitate controlled delays, specialized hardware has been developed for both the transmitting and receiving ends, ensuring synchronous message transmission.The additional stability of these stream ciphers, enhanced through time delays, is further reinforced by bitwise mixing using the initial key gamma.These methods not only increase resistance to decryption but also introduce new challenges for cryptanalysts.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.020 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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