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Record W4300336039 · doi:10.3217/jucs-013-04-0479

Internet Payment System: A New Payment System for Internet Transactions

2020· article· en· W4300336039 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBanking Systems and Strategies
Canadian institutionsAthabasca University
Fundersnot available
KeywordsPayment systemPaymentThe InternetBusinessPayment service providerInternet privacyComputer securityComputer scienceCommerceTelecommunicationsWorld Wide WebFinance

Abstract

fetched live from OpenAlex

Payment systems need to address a number of security issues in order to be an effective and secure means of transferring payments across the Internet. To be accessible to a wider audience, they also need to be easy to use for their end-users (customers and merchants). Trying to address these issues, we created the Internet Payment System (IPS). IPS tries to combine the advantages of several existing payment systems. While strong emphasis is made on the mobility and ease of use for its customers, IPS still retains strong security properties. It achieves privacy, integrity, authentication and non-repudiation by using different cryptographic algorithms and techniques. To demonstrate that the protocol satisfies the desired security properties, we use a recently proposed tool for formal verification, called AVISPA.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.005

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 head0.054
GPT teacher head0.218
Teacher spread0.164 · 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