A Novel Risk-Based Multi-Factor Authentication (MFA) Approach for Card-Not-Present (CNP) Transactions

Using biometric information and a Personal Identification Number (PIN) is not recommended for Card-Not-Present (CNP) online payments because merchants’ portals and payment processors are not standardized to accept or verify biometric data and PINs. Additionally, it increases the risk of critical information interception through keyloggers, malware, or phishing attacks. Similarly, using OTP poses several risks and limitations, including SIM swapping, delayed or failed OTP delivery, and vulnerabilities in the SS7 protocol. In this model, we utilized an innovative, configurable Multi-Factor Authentication (MFA) for user authentication and transaction authorization in CNP online payments, based on the theme “what we want.” The proposed additional factor for MFA consists of users’ expected transaction amount and time slot. MFA configuration is available via a bank’s or financial institution’s web portal or mobile app following a successful login and risk-based assessment. The risk-based assessment employs a weighted analysis of users’ historical activities to calculate the associative risk score (R). Dynamic Challenge Questions (CQs) are used to verify risky users with high-risk scores (R). The CQ(s) are enabled on a need basis, based on the value of the R for the user who is willing to configure MFA for transaction purposes. Implementing this risk-based MFA approach can significantly reduce financial losses from fraudulent actions in CNP online transactions, as transactions remain within users’ consent, predefined limits, and risk acceptance levels, whereas existing MFA solutions often require the use of registered mobile phones, tokens, or biometric information.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.90300240
Citations
1
Primary Topic
Advanced Authentication Protocols Security
Type
article
Field-Weighted Citation Impact
1.49
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article

A Novel Risk-Based Multi-Factor Authentication (MFA) Approach for Card-Not-Present (CNP) Transactions

Prakash Chandra Mondal, Prithwish Sarkar
1 citations
International Journal of Research and Innovation in Social Science
Advanced Authentication Protocols Security
1.49
article

A Novel Risk-Based Multi-Factor Authentication (MFA) Approach for Card-Not-Present (CNP) Transactions

Prakash Chandra Mondal, Prithwish Sarkar
article en
1 citations

Abstract

Using biometric information and a Personal Identification Number (PIN) is not recommended for Card-Not-Present (CNP) online payments because merchants’ portals and payment processors are not standardized to accept or verify biometric data and PINs. Additionally, it increases the risk of critical information interception through keyloggers, malware, or phishing attacks. Similarly, using OTP poses several risks and limitations, including SIM swapping, delayed or failed OTP delivery, and vulnerabilities in the SS7 protocol. In this model, we utilized an innovative, configurable Multi-Factor Authentication (MFA) for user authentication and transaction authorization in CNP online payments, based on the theme “what we want.” The proposed additional factor for MFA consists of users’ expected transaction amount and time slot. MFA configuration is available via a bank’s or financial institution’s web portal or mobile app following a successful login and risk-based assessment. The risk-based assessment employs a weighted analysis of users’ historical activities to calculate the associative risk score (R). Dynamic Challenge Questions (CQs) are used to verify risky users with high-risk scores (R). The CQ(s) are enabled on a need basis, based on the value of the R for the user who is willing to configure MFA for transaction purposes. Implementing this risk-based MFA approach can significantly reduce financial losses from fraudulent actions in CNP online transactions, as transactions remain within users’ consent, predefined limits, and risk acceptance levels, whereas existing MFA solutions often require the use of registered mobile phones, tokens, or biometric information.

International Journal of Research and Innovation in Social ScienceVol. IX(III)
Openalex Percentile: Top 18%
Advanced Authentication Protocols Security
1.49
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A Novel Risk-Based Multi-Factor Authentication (MFA) Approach for Card-Not-Present (CNP) Transactions — Prakash Chandra Mondal, Prithwish Sarkar · International Journal of Research and Innovation in Social Science (2025) | TGRS Research Map | TGRS