MétaCan
Menu
Back to cohort
Record W2171072531 · doi:10.1109/tdsc.2010.39

Fast and Secure Reauthentications for 3GPP Subscribers during WiMAX-WLAN Handovers

2010· article· en· W2171072531 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

VenueIEEE Transactions on Dependable and Secure Computing · 2010
Typearticle
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsUniversity of British Columbia
FundersSultan Qaboos UniversityAcademy of FinlandQueensland University of Technology
KeywordsWiMAXComputer networkComputer scienceRoamingHandoverInteroperabilityWireless networkWi-FiTelecommunicationsWirelessComputer security

Abstract

fetched live from OpenAlex

Wireless technologies such as the Wireless Local Area Network (WLAN), the Worldwide Interoperability for Microwave Access (WiMAX), and the Third-Generation (3G) mobile communications system complement each other to support a variety of services suited for the home, urban, and global environments. As roaming users expect a seamless handover (HO) experience when switching from one wireless network to another, fast and secure HO operations must be supported by the networks. In this paper, we present and analyze five reauthentication protocols for HOs between WiMAX and WLANs by subscribers of networks conforming to the 3G Partnership Project (3GPP) standards. Our proposed protocols achieve outstanding performance results compared to standard protocols in terms of reauthentication signaling traffic and reauthentication delay, while fulfilling essential HO security requirements such as the provision of mutual authentication and forward and backward secrecy.

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 categoriesMeta-epidemiology (narrow)
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 score0.388
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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