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Record W2141143058 · doi:10.1109/pes.2008.4596923

Two-level network architecture for open-access power systems with distributed generations

2008· article· en· W2141143058 on OpenAlexaff
Helen Cheung, Lin Wang, Alexander Hamlyn, Cungang Yang, Richard Cheung

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicAccess Control and Trust
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsComputer scienceDistributed System Security ArchitectureNetwork Access ControlComputer networkDistributed computingNetwork securityNetwork security policyComputer security modelGridAccess controlAccess network discovery and selection functionComputer securitySecurity serviceCloud computing securityInformation securityOperating system

Abstract

fetched live from OpenAlex

Recently increased use of network-enabled devices in power systems, rapid development of distributed generations from renewable energy resources, and government-imposed open access competition have resulted utilities in greater reliance on computer networks for proper power grid operations. This paper proposes a new two-level architecture for power-grid computer networks and to strength the networks' security. A new network access control strategy and a new role-based access model are presented for increasing the power-grid network security. The new model extends general network access controls for a single security domain to multiple domains in the interconnected microgrids. A security policy managing method using XML is proposed to simplify the network security administration. This paper shows the significance of the proposed two-level architecture and role-based network access security for the protection, control and monitoring operations in distribution systems supplied with centralized bulk electricity generations and dispersed generations under open access environment.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0010.001
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 head0.084
GPT teacher head0.360
Teacher spread0.276 · 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.

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

Citations0
Published2008
Admission routes1
Has abstractyes

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