How to Cite
Nurdullayev Alisher Niyatilla o‘g‘li , . S. K. U. S. S. . (2026). AN INTELLIGENT PATTERN RECOGNITION–BASED APPROACH FOR DETECTING VIRAL THREATS IN WEB-BASED INFORMATION SYSTEMS. Confrencea, 5, 113–116. Retrieved from https://confrencea.org/index.php/confrenceas/article/view/1949
Abstract
The rapid expansion of web-based information systems has significantly increased cybersecurity challenges associated with malicious web threats. This study proposes an intelligent approach for detecting viral threats in web environments using pattern recognition techniques. Modern cyber threats such as Cross-Site Scripting (XSS), malicious iframe injections, obfuscated JavaScript code, unauthorized web-shell deployment, and suspicious URL manipulations are considered as the primary research objects
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright (c) 2026 Shoraimov Khusanboy Uktamboyevich,Muxsinov Shamil Shavkatovich, Nurdullayev Alisher Niyatilla o‘g‘li