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Record W2165848545 · doi:10.1109/milcom.2012.6415876

Lightweight key management in distributed multi-channel cognitive radio networks

2012· article· en· W2165848545 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
FieldComputer Science
TopicSecurity in Wireless Sensor Networks
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCognitive radioComputer networkComputer scienceKey (lock)Root certificateImplicit certificateCertificateChannel (broadcasting)Overhead (engineering)Key managementControl channelComputer securityPublic key infrastructurePublic-key cryptographyTelecommunicationsCertificate authorityWirelessTelecommunications linkAlgorithm

Abstract

fetched live from OpenAlex

In this paper, lightweight identity-based and certificate-based distributed key management algorithms are proposed for self-organized multi-channel cognitive radio networks. Both key management schemes use threshold secret sharing. In identity-based scheme, after system initialization, each cognitive radio sends its channel key request to distributed private key generators. Then, it can construct the channel key based on its received shares. In certificate-based scheme, channel certificate can be constructed by receiving certificate authority shares at the cognitive radio. Simulation results show that the proposed identity-based and certificate-based schemes significantly increase the average battery life of cognitive radios and decrease the traffic overhead in multi-channel cognitive radio networks.

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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.977
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.020
GPT teacher head0.247
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

Quick stats

Citations1
Published2012
Admission routes1
Has abstractyes

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