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Securing web applications against XSS and SQLi attacks using a novel deep learning approach

Securing web applications against XSS and SQLi attacks using a novel deep learning approach

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9fa6eba6eeb54a2cbf389b08e92e4a3f

Securing web applications against XSS and SQLi attacks using a novel deep learning approach

About this item

Full title

Securing web applications against XSS and SQLi attacks using a novel deep learning approach

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-01, Vol.14 (1), p.1803-1803, Article 1803

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Modern web application development involves handling enormous amounts of sensitive and consequential data. Security is, therefore, a crucial component of developing web applications. A web application's security is concerned with safeguarding the data it processes. The web application framework must have safeguards to stop and find application vuln...

Alternative Titles

Full title

Securing web applications against XSS and SQLi attacks using a novel deep learning approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9fa6eba6eeb54a2cbf389b08e92e4a3f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9fa6eba6eeb54a2cbf389b08e92e4a3f

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-48845-4

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