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Record W2752205915 · doi:10.14288/sa.v0i3.188841

The preservation of digital signatures on the blockchain

2016· article· en· W2752205915 on OpenAlexaff

Bibliographic record

VenueOpen Collections · 2016
Typearticle
Languageen
FieldComputer Science
TopicBlockchain Technology Applications and Security
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBlockchainComputer securityAuthentication (law)Hash functionDigital signatureComputer scienceLedgerCertificationPublic-key cryptographyCertificate authorityPublic key infrastructurePublic key certificateKey (lock)Distributed ledgerMerkle treeInternet privacyWorld Wide WebHash chainBusinessPolitical scienceAccountingLawEncryption

Abstract

fetched live from OpenAlex

The blockchain is a distributed network that records digital transactions on a publicly-accessible ledger. This paper explores whether blockchain technology is a suitable platform for the preservation of digital signatures and key pairs (public and private keys). Conventional infrastructures use digital certificates, issued by certification authorities, to declare the authentication of key pairs and digital signatures. However, this paper suggests that the blockchain’s hash functions can replace those certificates on the grounds of better privacy, that the nature of the network removes the problem of a single point of failure and that hashing is a form of authentication that does not require trust in a third-party authority. This article was an appendix to the research paper, Blockchain Technology for Recordkeeping which is available in the Reports section at http://www.blockchainubc.ca/main/dissemination.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.005
Scholarly communication0.0040.010
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.003

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 head0.016
GPT teacher head0.239
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations16
Published2016
Admission routes1
Has abstractyes

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