Integrating Neutrosophic Logic with ASP.NET to Prevent XSS Attacks

Abstract

The widespread adoption of web applications has led to an increase in security vulnerabilities, with Cross-Site Scripting (XSS) attacks emerging as a significant threat to data integrity and privacy. XSS exploits enable attackers to execute malicious scripts within users' browsers, compromising both systems and sensitive information. This study proposes a novel detection and prevention framework leveraging neutrosophic logic integrated with ASP.NET web applications. Neutrosophic logic provides a powerful decision-making mechanism by identifying uncertainty, truth, and falsity, enabling the system to effectively handle dynamic and ambiguous mechanisms. Experimental evaluation on datasets has shown superior accuracy and a significant reduction in false positives compared to traditional machine learning and rule-based methods. The framework’s ability to detect obfuscated attack payloads and undetectable attacks underscores its adaptability and reliability. Designed for seamless integration into enterprise-level applications, this approach sets a new standard in web application security by overcoming the limitations of existing solutions.