Development of Mathematical Algorithm for Detecting XSS Attacks on Web Applications
Komil KerimovDepartment of System and Application Programming, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, 108 Amir Temur Avenue, Yunusabad paradise, 100084, Tashkent, REPUBLIC OF UZBEKISTANZarina Ildarovna AzizovaDepartment of Information Security, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, 108 Amir Temur Avenue, Yunusabad paradise, 100084, Tashkent, REPUBLIC OF UZBEKISTAN
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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.
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