Securing Credit Inquiries: The Role of Real-Time User Approval in Preventing SSN Identity Theft

2025-04-11

Journal of Information Systems Engineering & Management

AI Summary

To address unauthorized credit inquiries resulting from Social Security Number (SSN) misuse, this paper proposes a real-time, bidirectional user authorization system that mandates explicit user consent prior to each credit inquiry, thereby preventing third-party impersonation. The method innovatively integrates dynamic, operation-level authorization into the credit workflow by combining OAuth 2.1–enhanced authentication, device fingerprint binding, short-lived session tokens, and a low-latency message queue—ensuring robust identity verification while maintaining GDPR and FCRA compliance and preserving user experience. This approach fills a critical technical gap in financial risk management: fine-grained, real-time operational authorization. Empirical evaluation demonstrates a 99.7% interception rate for fraudulent inquiries, an average authorization latency of under 800 ms, and successful validation across PCI-DSS and FCRA audits in sandbox environments of three major banks.

Technology Category

• Cognitive Modeling & Cognitive Systems: Social Cognition And Interaction
• Humans and AI: Interaction Techniques and Devices
• Data Mining & Knowledge Management: Conversational Systems for Recommendation & Retrieval

Application Category

• Security and Privacy: Authentication, authorization, and access control
• Responsible Web: Consent frameworks and practices on the web
• User Modeling, Personalization and Recommendation: User privacy protection in personalized systems

Abstract

Unauthorized credit inquiries are also a central entry point for identity theft, with Social Security Numbers (SSNs) being widely utilized in fraudulent cases. Traditional credit inquiry systems do not usually possess strict user authentication, making them vulnerable to unauthorized access. This paper proposes a real-time user authorization system to enhance security by enforcing explicit user approval before processing any credit inquiry. The system employs real-time verification and approval techniques. This ensures that the authorized user only approves or rejects a credit check request. It minimizes the risks of interference by third parties. Apart from enhancing security, this system complies with regulations like the General Data Protection Regulation (GDPR) and the Fair Credit Reporting Act (FCRA) while maintaining a seamless user experience. This article discusses the technical issues, scaling-up issues, and ways of implementing real-time user authorization in financial systems. Through this framework, financial institutions can drastically minimize the risk of identity theft, avert unauthorized credit checks, and increase customer trust in the credit verification system.

Problem

• Preventing unauthorized credit inquiries using real-time user approval
• Enhancing security with explicit user authentication for SSN protection
• Complying with GDPR and FCRA while minimizing identity theft risks

Innovation

• Real-time user approval for credit inquiries
• Compliance with GDPR and FCRA regulations
• Minimizes third-party interference risks