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Record W2003678690 · doi:10.1504/ijaacs.2010.031088

A secure service architecture to support wireless vehicular networks

2010· article· en· W2003678690 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

VenueInternational Journal of Autonomous and Adaptive Communications Systems · 2010
Typearticle
Languageen
FieldEngineering
TopicVehicular Ad Hoc Networks (VANETs)
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsComputer scienceProvisioningComputer securitySoftware deploymentArchitectureComputer networkService delivery frameworkCertificateService (business)Public-key cryptographyEncryptionBusinessSoftware engineering

Abstract

fetched live from OpenAlex

Key elements and different existing approaches intended for VANETs were studied in this paper, dealing with security, identity privacy and accounting issues. These issues can serve as the basis for identifying the main components of an appropriate service-provisioning framework. We propose a secure service-provisioning architecture, which comprises the presence of public and private certificate authorities collocated with banking modules. The purpose of this architecture is to facilitate the delivery of information services offered at the roadside infrastructure. We describe two types of delivery scenarios: single-hop and multi-hop. These scenarios provide a more detailed view on how secure service provisioning can be implemented and what type of challenges might be tackled. Future research work needs to be focused on service provisioning, which has a promising potential for the future deployment of commercial applications in VANETs.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score0.690

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.238
Teacher spread0.227 · 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