A Neutrosophic Approach to Robust Web  Security: Mitigating XSS Attacks

A. A. Salama; El-Said F. Aboelfotoh; Hazem M. El-Bakry; Huda E. Khalid; Ahmed K. Essa; Ramiz Sabbagh; Doaa S. El-Morshedy

Authors

A. A. Salama Department of Mathematics and Computer Science, Faculty of Science, Port Said University, Egypt;
El-Said F. Aboelfotoh Department of Mathematics and Computer Science, Faculty of Science, Port Said University, Egypt;
Hazem M. El-Bakry Department of Information Systems-Faculty of Computers and Information, Mansoura University, Mansoura, Egypt
Huda E. Khalid Telafer University ، The Administration Assistant for the President of the Telafer University ، Telafer ، Iraq
Ahmed K. Essa Telafer University ، The Administration Assistant for the President of the Telafer University ، Telafer ، Iraq
Ramiz Sabbagh Department of the Scientific Affairs, Telafer University, Mosul, Iraq;
Doaa S. El-Morshedy Department of Mathematics and Computer Science, Faculty of Science, Port Said University, Egypt;

Keywords:

XSS, Cross-Site Scripting, Neutrosophic Logic, Web Security, Static Analysis, Dynamic Analysis, User Behavior Analysis, Input Validation, Output Encoding.

Abstract

Cross-Site Scripting (XSS) is one of the most grievous vulnerabilities-a pitfall through which
web applications are affected. These types of attacks are complex, and the available threat landscape
is always changing, making it hard for conventional security tools to effectively detect or prevent
these types of attacks. We present here an approach that detects and prevents XSS attacks on Web
pages. Since Neutrosophism works with different kinds of data, it aims at the validity degree of the
attack. This way the system understands the different types of attacks and allows the system to act
more effectively. Our system combines (1) static analysis-to look into the code behind the website
with (2) dynamic analysis-to watch the website in action. Moreover, a proactive defense watches your
user behavior and scrubs every input/output.

DOI: 10.5281/zenodo.14506897