Modern Identity Verification in Credit Card Applications: A Multi-Layered Security Approach

Because of the rise in synthetic identity fraud and the growing prospects of consumers for perfect digital guests , recycling credit card operations has nowadays been more grueling . In order to help sophisticated fraud attempts and save the stylish possible stoner experience, this each- inclusive frame presents a multi-layered identity verification system that makes use of behavioral analytics, artificial intelligence, and enhanced threat scoring. The integration of Social Security Number pre-validation with behavioral analysis of One- Time word relations creates a robust security armature that significantly enhances fraud discovery capabilities. Fiscal institutions may efficiently stop synthetic identity fraud and expedite the operation process by combining automated compliance monitoring with real- time threat assessment. Long- term efficacity in precluding fraud is assured by the frame's capability to acclimate to new pitfalls through machine literacy and nonstop authentication. Also, the integration of sophisticated device characteristic and graph- grounded analytics makes it possible to identify intricate fraud patterns and coordinated attacks, setting a new standard for identity verification in credit card operations

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-25
DOI
https://doi.org/10.5281/zenodo.16944354
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Modern Identity Verification in Credit Card Applications: A Multi-Layered Security Approach

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Modern Identity Verification in Credit Card Applications: A Multi-Layered Security Approach

article en

Abstract

Because of the rise in synthetic identity fraud and the growing prospects of consumers for perfect digital guests , recycling credit card operations has nowadays been more grueling . In order to help sophisticated fraud attempts and save the stylish possible stoner experience, this each- inclusive frame presents a multi-layered identity verification system that makes use of behavioral analytics, artificial intelligence, and enhanced threat scoring. The integration of Social Security Number pre-validation with behavioral analysis of One- Time word relations creates a robust security armature that significantly enhances fraud discovery capabilities. Fiscal institutions may efficiently stop synthetic identity fraud and expedite the operation process by combining automated compliance monitoring with real- time threat assessment. Long- term efficacity in precluding fraud is assured by the frame's capability to acclimate to new pitfalls through machine literacy and nonstop authentication. Also, the integration of sophisticated device characteristic and graph- grounded analytics makes it possible to identify intricate fraud patterns and coordinated attacks, setting a new standard for identity verification in credit card operations

Zenodo (CERN European Organization for Nuclear Research)
Jawaharlal Nehru Technological University, Hyderabad (IN)
Quality Education
Openalex Percentile: Top 67%
Geochemistry and Geologic Mapping
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Modern Identity Verification in Credit Card Applications: A Multi-Layered Security Approach · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS