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Record W1957547884 · doi:10.1002/dac.2534

Weakness of remote authentication scheme of Chen <i>et al</i>.

2013· article· en· W1957547884 on OpenAlexaff
Hong‐bin Tang, Liu Xin-song, Jianying Chen

Bibliographic record

VenueInternational Journal of Communication Systems · 2013
Typearticle
Languageen
FieldComputer Science
TopicUser Authentication and Security Systems
Canadian institutions123 Certification (Canada)
Fundersnot available
KeywordsComputer scienceReplay attackComputer securityDenial-of-service attackPasswordChenChallenge–response authenticationScheme (mathematics)Authentication (law)Mobile deviceComputer networkAuthentication protocolWorld Wide WebThe Internet

Abstract

fetched live from OpenAlex

SUMMARY The extensive application of mobile commerce has led researchers to design more secure protocols for mobile devices during the recent years. In 2011, Chen et al. proposed a three‐factor mobile device‐based remote authentication scheme, which tackled the security risk imposed by the loss of both password and mobile device. Scheme of Chen et al., however, is still vulnerable to the privileged insider attack, the replay attack, the impersonation attack, and the denial of service attack. It is not feasible for real‐life implementation. Copyright © 2013 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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.005

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 head0.023
GPT teacher head0.299
Teacher spread0.277 · 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 designTheoretical or conceptual
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

Citations6
Published2013
Admission routes1
Has abstractyes

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