IDEAS home Printed from https://ideas.repec.org/a/epw/ejece0/v6y2022i6id19480.html

Preventing Cyber-Fraud in Nigeria’s Banking System Using Fraudaeck-AI

Author

Listed:
  • Solomon M. Ekolama

    (Niger Delta University, Nigeria)

  • Sunny Orike

    (Rivers State University, Nigeria)

  • Promise Elechi

    (Rivers State University, Nigeria)

Abstract

Preventing Cyber-Fraud in Nigeria's Banking System Using Fraudaeck-AI (Fraud analysis environment for cyber-fraud check) is an in-depth analysis of artificial intelligence (AI) assisted identity verification and authentication systems to prevent cyber fraud in Nigeria's banking system. The Fraudaeck (fraud analysis environment for cyber-fraud check) is a machine learning model developed to learn the interconnected subsystems of the communication network and the banking applications and how they function seamlessly to provide customers with ease and comfort of banking even on the go. An investigation revealed how this created a vulnerability in the system, allowing malicious software attacks such as the Xenomorph Trojan to gain access to the system, paving the way for cyber fraudsters—"Yahoo-boys"—to gain access. This paper proposes a solution to cyber-fraud during electronic banking transactions by using an artificial neural network model called Fraudaeck, which can be interfaced with both the telecommunication protocols and the banking application to detect network intrusion, customer identity theft, and prevent cyber-fraud to obtain hitch-free banking activities in Nigeria.

Suggested Citation

  • Solomon M. Ekolama & Sunny Orike & Promise Elechi, 2022. "Preventing Cyber-Fraud in Nigeria’s Banking System Using Fraudaeck-AI," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 6(6), pages 55-63, October.
  • Handle: RePEc:epw:ejece0:v:6:y:2022:i:6:id:19480
    DOI: 10.24018/ejece.2022.6.6.480
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejece/article/view/19480
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejece/article/download/19480/11257
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejece.2022.6.6.480?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejece0:v:6:y:2022:i:6:id:19480. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejece .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.