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Effectiveness of Using Artificial Intelligence in Multi-factor Authentication Processes

Year: 2025

Type: article

Abstract: 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

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15071052

Author: Sh.A. Alishev

Language: English

Topic: User Authentication and Security Systems

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6893257206

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