Development of Mathematical Algorithm for Detecting XSS Attacks on Web Applications

The widespread usage of web applications has led to an increase in security threats, with Cross-Site Scripting (XSS) attacks being one of the most prevalent and damaging. Detecting and mitigating XSS attacks is crucial to ensure the integrity and confidentiality of sensitive user data. This article presents the mathematical algorithm and a way to identify XSS attacks using a bounded function from below, which depends on the input string, and highlights its potential impact in bolstering web application security. To construct this function, we used special characters and keywords that are frequently found in the construction of XSS attacks.

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Publication Details

Journal
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Published
2024-11-05
DOI
https://doi.org/10.37394/23209.2024.21.46
Primary Topic
Web Application Security Vulnerabilities
Type
article
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article

Development of Mathematical Algorithm for Detecting XSS Attacks on Web Applications

Komil Kerimov, Zarina Ildarovna Azizova
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Web Application Security Vulnerabilities
article

Development of Mathematical Algorithm for Detecting XSS Attacks on Web Applications

Komil Kerimov, Zarina Ildarovna Azizova
article en

Abstract

The widespread usage of web applications has led to an increase in security threats, with Cross-Site Scripting (XSS) attacks being one of the most prevalent and damaging. Detecting and mitigating XSS attacks is crucial to ensure the integrity and confidentiality of sensitive user data. This article presents the mathematical algorithm and a way to identify XSS attacks using a bounded function from below, which depends on the input string, and highlights its potential impact in bolstering web application security. To construct this function, we used special characters and keywords that are frequently found in the construction of XSS attacks.

WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONSVol. 21
Tashkent University of Information Technology (UZ)
Peace, Justice and strong institutions
Openalex Percentile: Top 69%
Web Application Security Vulnerabilities
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