THE SECURITY LEVEL OF AI-BASED BIOMETRIC IDENTIFICATION SYSTEMS

This scientific article provides a comprehensive analysis of the security level of artificial intelligence (AI)–based biometric identification systems, their operating mechanisms, and the possible cyber threats that may arise in the context of the development of modern information technologies.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-12
DOI
https://doi.org/10.5281/zenodo.20657711
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

THE SECURITY LEVEL OF AI-BASED BIOMETRIC IDENTIFICATION SYSTEMS

Xudoyorov Shaxriyor, Ernazarov Mirzohid
Zenodo (CERN European Organization for Nuclear Research)
Economic and Technological Systems Analysis
article

THE SECURITY LEVEL OF AI-BASED BIOMETRIC IDENTIFICATION SYSTEMS

Xudoyorov Shaxriyor, Ernazarov Mirzohid
article en

Abstract

This scientific article provides a comprehensive analysis of the security level of artificial intelligence (AI)–based biometric identification systems, their operating mechanisms, and the possible cyber threats that may arise in the context of the development of modern information technologies.

Zenodo (CERN European Organization for Nuclear Research)
RNET Technologies (United States) (US)
Openalex Percentile: Top 4%
Economic and Technological Systems Analysis
DOIOpen Access PDFOpenAlex
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THE SECURITY LEVEL OF AI-BASED BIOMETRIC IDENTIFICATION SYSTEMS — Xudoyorov Shaxriyor, Ernazarov Mirzohid · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS