Work

Development of Mathematical Algorithm for Detecting XSS Attacks on Web Applications

Year: 2024

Type: article

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.

Source: WSEAS Transactions on Information Science and Applications archive

DOI: 10.37394/23209.2024.21.46

Authors: Komil Fikratovich Kerimov, Zarina Ildarovna Azizova

Institution: Tashkent University of Information Technology

Language: English

Topic: Web Application Security Vulnerabilities

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4404077318

FWCI: 0.387

Cites: 10

Cited by: 1

Related to: 10