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Record W4400301440 · doi:10.23977/jeis.2024.090216

Exploration of the Encrypted Transmission Technology of Network Communication Information Based on AES Algorithm

2024· article· en· W4400301440 on OpenAlexvenueno aff

Bibliographic record

VenueJournal of Electronics and Information Science · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicE-commerce and Technology Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsEncryptionAdvanced Encryption StandardEncryption softwareComputer scienceTransmission (telecommunications)Information transmissionData transmissionComputer networkAlgorithmMultiple encryptionTelecommunications56-bit encryption

Abstract

fetched live from OpenAlex

With the rapid progress and wide application of Internet technology, the security problem of network communication has become increasingly prominent; this has become a major bottleneck restricting the development of information society. Therefore, this research aims to develop an innovative encryption transmission technology based on AES algorithm to meet the security requirements of network communication. By using AES algorithm as the core encryption mechanism, we build a new network communication information encryption transmission model, and adopt the strategy of information isolation to enhance the security of data. At the same time, we design an efficient encryption transmission platform to improve the encryption efficiency and effectively resist potential information theft. The experimental results show that our technology significantly reduces the risk of information theft and provides a reliable and innovative solution for network communication security problems. This research has important theoretical and practical significance in the field of network communication security, and provides a strong support for the future development of network security technology.

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)0.001
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 score0.714
Threshold uncertainty score0.853

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.012
Open science0.0000.000
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 head0.010
GPT teacher head0.235
Teacher spread0.225 · 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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