EFFECTIVENESS OF USING ARTIFICIAL INTELLIGENCE IN MULTI-FACTOR AUTHENTICATION PROCESSES

In recent years cybercrimes related to personal data theft have increased. The given paper explores a multi-factor authentication system using artificial intelligence methods, including fuzzy logic and neural networks. Identification attributes are extracted from three sources: social networks, surveys, and service applications. These attributes are then categorized into biometric, device, and pseudo-metrics and integrated using a data fusion method. The effectiveness of artificial intelligence technologies in authentication systems is analyzed