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Record W2372575796

Attribute Certificates Based Privilege Management Infrastructure

2005· article· en· W2372575796 on OpenAlexvenueno aff
Chi Zhang

Bibliographic record

VenueMicrocomputer applications · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicAccess Control and Trust
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceAccess controlPrivilege (computing)DelegationAuthorization certificateComputer securityKey (lock)CertificateFunction (biology)Field (mathematics)Certificate authorityComputer networkPublic-key cryptographyEncryption
DOInot available

Abstract

fetched live from OpenAlex

In this paper we introduce Privilege Management Infrastructure (PMI) in detail. After the analysis of the key factors of access control in network, we present the definition of PMI , the requirements of PMI for the access control, and several models of PMI. The two main points of this paper, one is detailed description of every field of Attribute Certificate and its function in access control. And the other is to present the simple model of PMI, PMI access control model and PMI delegation model, which suit different environments of access control respectively. At the end of the paper, several important techniques in the management of attribute certificates are presented.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.503

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.275
Teacher spread0.266 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2005
Admission routes1
Has abstractyes

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