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Record W4410074438 · doi:10.63471/ml24002

Blockchain Technology for Securing Digital Information: Opportunities and Challenges

2024· article· en· W4410074438 on OpenAlexaff
Mahafuj Hassan, Md Azhad Hossain, Mohammad Zahidul Alam, M Hussain, Jarin Tias Meraj

Bibliographic record

VenueAdvances in Machine Learning IoT and Data Security · 2024
Typearticle
Languageen
FieldComputer Science
TopicBlockchain Technology Applications and Security
Canadian institutionsWycliffe College
Fundersnot available
KeywordsBlockchainComputer scienceData scienceInternet privacyComputer securityWorld Wide WebBusiness

Abstract

fetched live from OpenAlex

Modern Internet technology has developed because of information security. The password mechanism, programmed mechanism, decentralized mechanism, and distributed mechanism. The Blockchain's mechanism offers a whole new angle for the advancement of Internet information security technologies. The mechanisms used to store and distribute information within a network are redefined by Blockchain technology. It is not necessary for participants to know one another or for third-party certifying agencies to take part. It uses distributed technology to record, transmit, and store information value transfer activities. It also uses an asymmetric cryptographic algorithm to prevent data tampering and forgery. Finally, it allows all participants to agree on the current state of blockchain data information. Additionally, the use of blockchain technology in identity identification, data protection, and network security is explained by a recent industry study. The development of information security technology will be greatly accelerated by blockchain technology, which will also have a significant influence on the field's overall growth.

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 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 score0.897
Threshold uncertainty score0.596

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 communication0.0000.001
Open science0.0010.001
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 head0.027
GPT teacher head0.282
Teacher spread0.256 · 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 teacher head, 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

Citations0
Published2024
Admission routes1
Has abstractyes

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