MétaCan
Menu
Back to cohort
Record W2950808142

A General Construction for 1-round δ-RMT and (0, δ)-SMT.

2012· preprint· en· W2950808142 on OpenAlexaff
Reihaneh Safavi–Naini, Mohammed Ashraful Alam Tuhin, Pengwei Wang

Bibliographic record

VenueIACR Cryptology ePrint Archive · 2012
Typepreprint
Languageen
FieldComputer Science
TopicCoding theory and cryptography
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsComputer scienceCommunication sourceMessage authentication codeReliability (semiconductor)Disjoint setsNode (physics)Computer networkTransmission (telecommunications)AdversaryTheoretical computer scienceAuthentication (law)Protocol (science)Relation (database)Power (physics)CryptographyAlgorithmComputer securityMathematicsDiscrete mathematicsTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

Abstract. In Secure Message Transmission (SMT) problem, a sender S is connected to a receiver R through N node disjoint bidirectional paths in the network, t of which are controlled by an adversary with unlimited computational power. S wants to send a message m to R in a reliable and private way. It is proved that SMT is possible if and only if N ≥ 2t+1. In Reliable Message Transmission (RMT) problem, the network setting is the same and the goal is to provide reliability for communication, only. In this paper we focus on 1-round δ-RMT and (0, δ)-SMT where the chance of protocol failure (receiver cannot decode the sent message) is at most δ, and in the case of SMT, privacy is perfect. We propose a new approach to the construction of 1-round δ-RMT and (0, δ)-SMT for all connectivities N ≥ 2t + 1, using list decodable codes and message authentication codes. Our concrete constructions use folded Reed-Solomon codes and multireceiver message authentication codes. The protocols have optimal transmission rates and provide the highest reliability among all known comparable protocols. Important advantages of these constructions are, (i) they can be adapted to all connectivities, and (ii) have simple and direct security (privacy and reliability) proofs using properties of the underlying codes, and δ can be calculated from parameters of the underlying codes. We discuss our results in relation to previous work in this area and propose directions for future research. 1

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.

How this classification was reachedexpand

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.002
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 head0.021
GPT teacher head0.266
Teacher spread0.245 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreMethods

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueIACR Cryptology ePrint ArchiveSame topicCoding theory and cryptographyFrench-language works237,207