International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 1
January-February 2025
Indexing Partners
Securing Phone Numbers as the Most Widely Used Member Identifier: Preventing Fraud in Retail Transactions Through Advanced Authentication Methods
Author(s) | Mithilesh Ramaswamy |
---|---|
Country | USA |
Abstract | Phone numbers are one of the most widely used member identifiers in retail loyalty programs due to their accessibility and simplicity. However, their use introduces significant security vulnerabilities, including unauthorized access, account takeovers, and phishing attacks. These vulnerabilities are particularly detrimental in retail transactions, where loyalty points and customer data are attractive targets for fraudsters. This paper examines the risks associated with phone numbers as identifiers and proposes a comprehensive framework to mitigate fraud in loyalty programs. The framework integrates advanced authentication techniques, such as Near Field Communication (NFC), Multi-Factor Authentication (MFA), and One-Time Passwords (OTPs), with real-time transaction monitoring and behavioral analytics. By implementing these measures, organizations can reduce fraud, protect customer trust, and maintain the integrity of retail loyalty programs. The paper also references recent statistics on retail identity theft, supported by academic research, to demonstrate the urgency of implementing robust security frameworks. |
Keywords | Phone number security, retail transactions, loyalty program fraud prevention, advanced authentication methods, NFC authentication, multi-factor authentication, one-time passwords, fraud detection, retail identity theft. |
Published In | Volume 6, Issue 5, September-October 2024 |
Published On | 2024-09-24 |
Cite This | Securing Phone Numbers as the Most Widely Used Member Identifier: Preventing Fraud in Retail Transactions Through Advanced Authentication Methods - Mithilesh Ramaswamy - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.22464 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i05.22464 |
Short DOI | https://doi.org/g82hrn |
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