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Record W1996107151 · doi:10.1002/sec.140

A lightweight secure data transmission protocol for resource constrained devices

2009· article· en· W1996107151 on OpenAlexaff
Qian Yu, Chang N. Zhang

Bibliographic record

VenueSecurity and Communication Networks · 2009
Typearticle
Languageen
FieldComputer Science
TopicSecurity in Wireless Sensor Networks
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsComputer scienceComputer networkNetwork packetProtocol (science)Overhead (engineering)Authentication (law)MulticastData transmissionRC4Broadcasting (networking)Distributed computingComputer securityStream cipherEncryption

Abstract

fetched live from OpenAlex

Abstract In this paper we present a lightweight but robust security protocol based on the forward and backward property of RC4 stream cipher. The proposed protocol offers data confidentiality, data authentication, data integrity, and data freshness with less operation and low overhead. Also, it allows data packets to be received in any arbitrary order and achieves semantic security. Furthermore, it eliminates the requirement of frequent key renewal to overcome a special limitation of the stream ciphers. Due to the competitive efficiency and lightweight, the proposed protocol is considerable to provide secure data transmission among resource constrained devices, where the communication nodes have limited power resources and computational capabilities. This protocol not only applies to one‐to‐one communications, but also works for the broadcasting and multicasting. Copyright © 2009 John Wiley & Sons, Ltd.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.032
GPT teacher head0.307
Teacher spread0.275 · 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
GenreMethods

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

Citations8
Published2009
Admission routes1
Has abstractyes

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