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Record W3092700807

Aplikasi Pengaman Web

2018· article· id· W3092700807 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

Venuenot available
Typearticle
Languageid
FieldComputer Science
TopicEdcuational Technology Systems
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsCross-site scriptingComputer scienceWeb application securityWorld Wide WebWeb APIComputer securityApplication firewallSQL injectionWeb developmentClient-side scriptingFirewall (physics)Web applicationWeb pageWeb serviceWeb serverDatabaseStateful firewallThe InternetNetwork packetWeb search query
DOInot available

Abstract

fetched live from OpenAlex

Security weaknesses in the web application are often utilized by people who are not responsible for stealing data and damaging the web, which of course this will harm web owners and interfere with the convenience of web users. It takes a way to reduce the risk of attacks on web applications that have security weaknesses. One of them is by using the Web Application Firewall. The Web Application Firewall in this study was designed to secure web applications from brute force attacks, SQL Injection, XSS, Comman Execution, and Arbitrary File Upload.  This research was conducted by comparing the results obtained from testing the dummy website that has been installed with the Web Application Firewall using the PHP programming language. Keywords: Arbitrary File Upload, Brute Force, Command Execution, PHP, XSS, Web Application Firewall

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score0.974

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.027

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 head0.028
GPT teacher head0.271
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

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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