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Record W7126153785 · doi:10.18280/isi.301218

Enhanced Security in Information Transmission: Redundant Stream Ciphers with Time Delay Integration

2025· article· W7126153785 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIngénierie des systèmes d information · 2025
Typearticle
Language
FieldComputer Science
TopicCryptographic Implementations and Security
Canadian institutionsnot available
Fundersnot available
KeywordsStream cipherCryptographyRedundancy (engineering)Stream cipher attackInformation securityBlock cipher

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.885
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0020.020
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.240
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it