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Record W2099684947 · doi:10.1109/wse.2012.6320525

Automated verification of role-based access control security models recovered from dynamic web applications

2012· article· en· W2099684947 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

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicAccess Control and Trust
Canadian institutionsQueen's University
Fundersnot available
KeywordsComputer scienceWeb application securityComputer security modelSoftware engineeringWeb applicationAccess controlWeb modelingContext (archaeology)Unified Modeling LanguageMandatory access controlRole-based access controlSecurity testingWeb serviceDatabaseProgramming languageComputer securityWorld Wide WebOperating systemSoftwareSecurity information and event managementWeb developmentCloud computing securityCloud computing

Abstract

fetched live from OpenAlex

This paper presents an original Model-Driven-Engineering (MDE) approach to support the verification and testing of security properties in dynamic web applications. Based on a previously recovered UML-based fine-grained security model, the approach begins by transforming the model into a Prolog-based formal model. The Prolog model is then checked to verify whether the application conforms to specified access control security properties. We demonstrate the use of our method on the popular open source bulletin board system PhpBB 2.0, in the context of three test scenarios: testing for unauthorized access, web application security maintenance, and web application re-engineering.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score0.891

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.019
GPT teacher head0.317
Teacher spread0.298 · 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

Quick stats

Citations16
Published2012
Admission routes1
Has abstractyes

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