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Extensible Authentication (EAP) Protocol Integrations in the Next Generation Cellular Networks

2008· book-chapter· en· W171455491 on OpenAlexaff
Sasan Adibi, Gordon B. Agnew

Bibliographic record

VenueIGI Global eBooks · 2008
Typebook-chapter
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAuthentication protocolComputer networkComputer scienceLightweight Extensible Authentication ProtocolIEEE 802.1XChallenge-Handshake Authentication ProtocolIEEE 802.11sWiMAXAuthentication (law)IEEE 802.11w-2009Wireless networkComputer securityTelecommunicationsWirelessIEEE 802.11Wireless mesh network

Abstract

fetched live from OpenAlex

Authentication is an important part of the authentication authorization and accounting (AAA) schemes and the extensible authentication protocol (EAP) is a universally accepted framework for authentication commonly used in wireless networks and point-to-point protocol (PPP) connections. The main focus of this chapter is the technical details to examine how EAP is integrated into the architecture of next generation networks (NGN), such as in worldwide interoperability for microwave access (WiMAX), which is defined in the IEEE 802.16d and IEEE 802.16e standards and in current wireless protocols, such as IEEE 802.11i. This focus includes an overview of the integration of EAP with IEEE 802.1x, remote authentication dial in user service (RADIUS), DIAMETER, and pair-wise master key version (2PKv2).

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.039
GPT teacher head0.246
Teacher spread0.207 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations2
Published2008
Admission routes1
Has abstractyes

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