Research Article Open Access

Optimized Authentication Model for Online Transaction Payments

Owusu Nyarko-Boateng1, Benjamin A. Weyori1 and Lord Anertei Tetteh2
  • 1 The University of Energy and Natural Resources, Ghana
  • 2 Accra Institute of Technology University, Ghana


The rapid growth of the internet across the globe has gained attention in the world of business. The internet has become the major driver for business growth in the world; due to several security lapses online; it is necessary to implement measures and standards on the internet to protect transactions online. These security lapses have led to the development of various online payment protocols to ensure the safety of online transactions such as Secure Electronic Transaction (SET), internet Keyed Payment (iKP) and The Secure Socket Layer (SSL). There are several methods of paying for online transactions; these include direct payment with bank accounts and the use of electronic card. The payments are subjected to the verification system, which ensures no one uses someone’s card to transact business online. Each card has a security feature known as the Card Verification Value (CVV) number, which is used as authentication for online business. The key feature of the card which validates the card owner as the user is the CVV number, which is found at the back of the card. The problem is that when the card gets lost or falls into the hands of another person, it is likely the person might use the card for a fraudulent activity online. This is because all the information required for e-payment is on the card. In this paper, we propose an optimized conceptual model which ensures the removal of the CVV number from the all-electronic card, the paper also recommended a framework that deployed Unstructured Supplementary Services Data (USSD) technology in the online transaction and payment process. In a real-world implementation, the proposed optimized model shall enhance e-commerce payments, card user participation, reduce threats, improves the security of conducting online business and then offer the card user the opportunity to deny or accepts payment.

Journal of Computer Science
Volume 16 No. 2, 2020, 225-234


Submitted On: 16 June 2019 Published On: 20 February 2020

How to Cite: Nyarko-Boateng, O., Weyori, B. A. & Tetteh, L. A. (2020). Optimized Authentication Model for Online Transaction Payments. Journal of Computer Science, 16(2), 225-234.

  • 1 Citations



  • CVV
  • Issuer
  • Merchant
  • Authentication
  • Bank
  • E-Commerce