INTELLIGENT MODEL BASED ON PATTERN RECOGNITION FOR DETECTING VIRAL THREATS IN WEB-BASED INFORMATION SYSTEMS

Abstract

This article proposes an intelligent model based on pattern recognition theory for detecting viral threats in web-based information systems. The relevance of the research is explained by the increasing complexity of malicious attacks targeting web applications and the insufficient effectiveness of traditional signature-based protection systems in identifying new and obfuscated threats. During the study, the mechanisms of formation of web virus attacks, their propagation dynamics, and their impact on web systems were systematically analyzed.