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Record W2737454818 · doi:10.1109/ccnc.2017.7983179

A context-aware authentication service for smart homes

2017· article· en· W2737454818 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
TopicUser Authentication and Security Systems
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsAuthentication (law)Computer scienceComputer securityContext (archaeology)Service (business)AuthorizationInternet of ThingsMobile deviceInternet privacyThe InternetUbiquitous computingComputer networkWorld Wide WebHuman–computer interactionBusiness

Abstract

fetched live from OpenAlex

The rapid increase of Internet of Things (IoT) devices will have a significant impact on people's daily life, providing a wide range of services, such as smart lights, door locks, and cameras remotely controlled by smartphones. Remote access within the same environment or via the Internet requires effective authentication and authorization mechanisms beyond those provided by static authentication methods. We believe a dynamic authentication mechanism for mobile users is needed to protect against unauthorized access. This paper proposes a context-aware authentication service for mobile users in Smart Home environments. The service we have designed and implemented provides secure and flexible access to local as well as remote users, as demonstrated by the evaluation results.

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 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 score0.968
Threshold uncertainty score0.622

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 studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.043
GPT teacher head0.297
Teacher spread0.254 · 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

Citations20
Published2017
Admission routes1
Has abstractyes

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