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Record W2163542548 · doi:10.1109/vetecf.2004.1405096

Performance of state based key hop (SBKH) protocol for security on wireless networks

2005· article· en· W2163542548 on OpenAlexaff
Kannan Srinivasan, Stephen Michell

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Networks and Protocols
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsRC4Computer scienceComputer networkEncryptionCryptographic protocolWirelessNetwork packetProtocol (science)Key (lock)Public-key cryptographyCryptographyComputer securityTelecommunications

Abstract

fetched live from OpenAlex

State based key hop (SBKH) protocol is a novel, simple encryption scheme that uses RC4 encryption technique in a way that provides robust security with reduced processing cost, compared to 802.11 security protocols: wired equivalent privacy (WEP) and wireless fidelity (Wi-Fi) protected access (WPA). Low processing cost makes SBKH suitable for battery-operated devices, such as wireless sensors, and ease of implementation and maintenance make it suitable for small office home office (SOHO) user nodes. We present a performance analysis of the SBKH protocol and compare it with a performance analysis of WEP and WPA. The analysis reveals that SBKH is significantly more power efficient in terms of processing compared to WEP, WPA 1.0 and WPA 2.0 for all packet sizes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.284
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations5
Published2005
Admission routes1
Has abstractyes

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