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Record W2314685348 · doi:10.5121/ijnsa.2014.6301

Privacy Protection for Role-Based Access Control in Service Oriented Architecture

2014· article· en· W2314685348 on OpenAlexaff
Helen Cheung, Celia Li, Ye Yu, Cungang Yang

Bibliographic record

VenueInternational Journal of Network Security & Its Applications · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAccess Control and Trust
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAccess controlArchitectureComputer securityComputer scienceInternet privacyService (business)BusinessComputer networkGeography

Abstract

fetched live from OpenAlex

Service Oriented Architecture (SOA) changes the way of conducting business by opening their services to the larger business world over the networks. However, the "open" and "interoperable" properties of SOA make privacy a sensitive security issue. In SOA, service providers (SPs) limit permission of access to specific authorized Access Requestors (ARs). SPs need to verify ARs' identity information, but ARs may not willing to disclose their privacy to unknown SPs in an open system. To solve this conflict in SOA environment, we propose privacy preserving protocols for role-based access control (RBAC) in the SOA environment. The security analysis demonstrates that our protocols are privacy protected. Moreover, the implementation of the proposed protocols are compatible with current SOA standards and technologies such as XACML and SOAP.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.970
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.017
GPT teacher head0.325
Teacher spread0.309 · 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
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

Citations1
Published2014
Admission routes1
Has abstractyes

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