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Record W3203474687 · doi:10.1016/j.aej.2021.09.051

6G technology and taxonomy of attacks on blockchain technology

2021· article· en· W3203474687 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

VenueAlexandria Engineering Journal · 2021
Typearticle
Languageen
FieldComputer Science
TopicBlockchain Technology Applications and Security
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsBlockchainComputer scienceComputer securityCountermeasureArchitectureEngineering

Abstract

fetched live from OpenAlex

Blockchain technology is now being used in every aspect of human life. It appears like everyone is racing to develop apps that run on top of the blockchain technology available today. Indeed, this is owing to the fact that it has distinct qualities and a distinctive design. However, it is not well suited to all applications of blockchain technology. Not merely altering the blockchain protocols would make it suitable, but instead redesigning its architecture is required to make it ideal for different applications. This paper describes the overview of blockchain technology thoroughly. It provides a detailed discussion on the prevalent core-oriented and client-oriented attacks on blockchain technology and the vulnerabilities exploited by them. It also presents the possible countermeasure to these attacks. Moreover, it provides insight into the creation of a better version of the blockchain that is more suitable for different types of blockchain applications.

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 score0.849
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.009
GPT teacher head0.206
Teacher spread0.197 · 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