MétaCan
Menu
Back to cohort
Record W3134032143 · doi:10.1109/mce.2021.3062800

Consumer Electronic Devices: Evolution and Edge Security Solutions

2021· article· en· W3134032143 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

VenueIEEE Consumer Electronics Magazine · 2021
Typearticle
Languageen
FieldComputer Science
TopicIoT and Edge/Fog Computing
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsComputer scienceComputer securityMobile deviceEnhanced Data Rates for GSM EvolutionAuthentication (law)The InternetEdge deviceVariety (cybernetics)TelecommunicationsWorld Wide WebCloud computing

Abstract

fetched live from OpenAlex

The pervasive growth in the variety of consumer electronic devices (CEDs), as well as the Internet traffic, has evolved various security risks toward their usage. This article presents the concept of communications without a centralized server to facilitate the fastest communication between end-devices, e.g., user handheld devices, and edge devices. Three communication scenarios are presented to support authentication in the proposed architecture. To understand the concept, this article first describes the growth in the CEDs market. Afterward, the discussion on various challenges faced for incorporating security in such devices is presented along with edge-based security solutions. Finally, the article presents a use-case of the content delivery network to discuss various security solutions based on the edge with the hope that these solutions will work for future security.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.713
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.235
Teacher spread0.222 · 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