BioPay: Your Fingerprint is Your Credit Card

Fahad Alsolami

doi:10.14569/ijacsa.2019.0100167

Abstract

In recent years, credit and debit cards have become a very convenient method of payment. The growing use of card payments, hereafter referred to as credit cards, is evident in the daily use with many applications, such as withdrawing money from an Automated Teller Machine (ATM) and making payments in a store. Online payment has been very common these days, where the transaction is made across a great distance, allowing for online shopping. This has increased chance of credit cards experiencing a risk of cybersecurity attacks, particularly if the transaction amount is big enough. Another problem that arises is the potential fraud should a thief try to impersonate the credit card owner’s identity. To overcome these obstacles, we propose a BioPay scheme that uses the fingerprint biotoken to replace the current plastic credit card. The BioPay scheme uses the biometric data (fingerprint), revocable fingerprint biotokens (Biotope), and Bipartite token to provide high authentication, non-repudiation, security and privacy for all payment transactions including money withdrawal from an ATM. The BioPay scheme collects biometric data (i.e. fingerprint) from users and embeds four-digit authentication numbers inside the encoding biometric data (i.e. fingerprint), finally distributing them over clouds. In the payment/withdrawal process, a user provides his/her fingerprint to complete the transaction. BioPay scheme insures that the transaction process performs on an encrypted form to provide security and privacy for the customer’s bank information. Our experiment shows that BioPay has comparable accuracy and significant performance gain for performing the transaction process.

Highlights

With the spread of e-commerce, many attacks are made against credit cards, debit cards, and other forms of online transaction; this has become so prevalent that securing card payments or inventing a new way of payment is no longer an alternative; it is a necessity
Carcillo et al [13] proposes a scalable real-time fraud finder (SCARFF) which implements machine learning with big data tools like Spark
The main goal of the BioPay scheme is to explore a new technology for payment by introducing fingerprint data to replace the current standard of the credit card

Summary

Introduction

With the spread of e-commerce, many attacks are made against credit cards, debit cards, and other forms of online transaction; this has become so prevalent that securing card payments (hereafter referred to as credit cards) or inventing a new way of payment is no longer an alternative; it is a necessity. A study evaluates the common use of credit card among college students in the United Sates, looking at habits for buying and attitudes towards money [2] This leads to researchers inventing a programmable credit card that can access one or more credit accounts across multiple credit card companies [8]. Chan et al [3] provides a survey, evaluates the fraud detection techniques, and proposes a method that combines a fraud detector with a “cost model” to get significant results. They divide the large data set into small subsets and apply data mining technique to generate classifiers in parallel. Wang et al [14] uses distributed deep learning for credit card fraud detection which provides end-to-end privacy

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Methods

Conclusion