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Record W4379231030 · doi:10.23977/jeis.2023.080204

Analysis of Computer Network Security and Prevention Technology

2023· article· en· W4379231030 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Electronics and Information Science · 2023
Typearticle
Languageen
FieldComputer Science
TopicNetwork Packet Processing and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsFirewall (physics)Application firewallContext-based access controlComputer scienceDMZComputer securityInternet securityNetwork securityStateful firewallNetwork packetComputer networkSecurity serviceInformation securityBusiness

Abstract

fetched live from OpenAlex

This paper mainly studies computer network security and firewall technology, discussing the functions, main technologies, configurations, security measures, and firewall design ideas of network firewall security technology. With the popularization of computer networks, network security issues are receiving increasing attention from people. We can propose corresponding measures to address the shortcomings and vulnerabilities in current network security and firewall settings, in order to expect our network to be more secure. In terms of ensuring network security and data security, there are data encryption technology, smart card technology, firewall technology, etc. We mainly study firewall technology here. Firewalls can be divided into various types based on their different methods, precautions, and priorities. Afterwards, two basic implementation technologies, firewall packet filtering and application proxy, were introduced. Firewall technology is still in the development stage, and there are still many problems that need to be solved.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.708
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0000.000
Scholarly communication0.0000.004
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 head0.005
GPT teacher head0.249
Teacher spread0.243 · 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