0704-883-0675     |      dataprojectng@gmail.com

The Role of Artificial Intelligence-based Biometric Systems in Enhancing User Authentication: A Case Study of Access Bank, Plateau State

  • Project Research
  • 1-5 Chapters
  • Abstract : Available
  • Table of Content: Available
  • Reference Style:
  • Recommended for :
  • NGN 5000

1.1 Background of the Study

Biometric authentication systems, which include technologies like fingerprint recognition, facial recognition, and voice identification, have revolutionized user security in digital platforms. As cyber threats continue to increase, traditional password-based authentication methods are proving inadequate for securing sensitive data. Artificial Intelligence (AI) has been integrated into biometric systems to enhance their accuracy and efficiency in user identification (Akinlade et al., 2024). AI-based biometric systems are particularly advantageous in improving user experience by offering faster, more reliable authentication processes while maintaining high levels of security.

In Nigeria, Access Bank has been at the forefront of adopting innovative security measures, including AI-based biometric authentication, to safeguard its digital banking services. This study focuses on the role of AI-powered biometric systems in enhancing user authentication at Access Bank in Plateau State. By examining how AI is integrated into the bank's security protocols, this study aims to assess the effectiveness of these systems in preventing fraud and ensuring secure access to banking services.

1.2 Statement of the Problem

Although biometric authentication has been widely adopted as a more secure alternative to traditional passwords, concerns regarding accuracy, privacy, and the potential for errors remain. The challenge lies in improving the performance of biometric systems, ensuring that they are not only secure but also user-friendly. Despite the potential benefits of AI in enhancing biometric systems, there is limited research on its effectiveness in improving user authentication in Nigerian banks. This study seeks to address this gap by examining how AI-based biometric authentication systems can enhance security and user experience at Access Bank.

1.3 Objectives of the Study

1. To evaluate the effectiveness of AI-based biometric systems in enhancing user authentication at Access Bank, Plateau State.

2. To assess the impact of AI-driven biometric authentication on the reduction of fraud and unauthorized access to banking services.

3. To identify the challenges and opportunities associated with the implementation of AI-based biometric systems in Nigerian banks.

1.4 Research Questions

1. How effective are AI-based biometric systems in improving user authentication at Access Bank, Plateau State?

2. What impact do AI-driven biometric systems have on reducing fraud and enhancing the security of banking transactions?

3. What are the challenges and opportunities for expanding the use of AI-based biometric authentication systems in the Nigerian banking sector?

1.5 Research Hypothesis

1. AI-based biometric authentication systems significantly enhance the accuracy and security of user identification at Access Bank.

2. The implementation of AI-powered biometric systems leads to a reduction in cases of fraud and unauthorized access to banking services.

3. Challenges such as privacy concerns and technical limitations hinder the widespread adoption of AI-based biometric systems in Nigerian banks.

1.6 Significance of the Study

This study is significant as it explores the potential of AI in transforming biometric authentication in Nigeria’s banking sector. Given the rising concerns over online banking fraud, AI-driven biometric systems could offer a more secure and efficient solution for verifying users and preventing unauthorized access. The findings of this study could inform banking institutions about the benefits and challenges of implementing AI in their security systems.

1.7 Scope and Limitations of the Study

The study will focus on Access Bank in Plateau State and will not extend to other banks or regions. Limitations include the availability of data on the specific performance metrics of AI-based biometric systems and the generalizability of findings to other banking institutions.

1.8 Operational Definition of Terms

1. AI-based Biometric Systems: Authentication technologies that use AI to analyze biometric data, such as fingerprints, facial features, or voice patterns, for user identification.

2. User Authentication: The process of verifying the identity of a user, typically through biometric or password-based methods.

3. Fraud Prevention: Measures designed to prevent illegal or unauthorized activities, such as identity theft or financial fraud, within digital systems.

4. Facial Recognition: A biometric method used to identify or verify individuals based on the unique features of their faces.

5. Digital Banking Services: Services provided by banks through online platforms, such as mobile banking, internet banking, and digital payment solutions.

 





Related Project Materials

A SURVEY ON THE CAUSES OF FRAUD AND WAYS OF PREVENTING IT IN NIGERIA'S PUBLIC SECTORS

BACKGROUND OF THE STUDY

The problem of fraud in the public sector has assumed immense proportions with...

Read more
The Role of Radio Advertising in Boosting Awareness of Literacy Campaigns in Auyo LGA, Jigawa State

Background of the Study
Radio advertising has long been a potent tool for reaching a broad audience, especially in rural ar...

Read more
An Appraisal of Phonological Articulation in Nigerian Folk Dramas: A Case Study of Traditional Theatre Performances

Background of the Study
Nigerian folk dramas are vibrant cultural expressions that blend storytelling, music, and dramatic...

Read more
Investigation into the Role of AI in Predicting Job Market Trends for Graduates: A Case Study of Bingham University, Karu (Karu LGA, Nasarawa State)

Background of the Study
The rapidly changing job market presents challenges for university graduates in aligning their academic training wit...

Read more
An investigation of gender-based discrimination in artisan professions in Abakaliki Local Government Area, Ebonyi State

Background of the Study (200 words)
Artisan professions play a significant role in local economies, yet gender-based discri...

Read more
Implementation of STEAM Education (Science, Technology, Engineering, Arts, Mathematics) in Early Childhood

Abstract: This study explores the implementation of STEAM education in early childhood settings to foster creativity, critical thi...

Read more
The effect of mobile marketing automation on campaign efficiency: A study of an e-commerce app in Kano.

Background of the study   
Mobile marketing automation employs software tools to streamline and...

Read more
The Effect of Child Labor on Community Development in Chibok Local Government Area, Borno State

Chapter One: Introduction

1.1 Background of the Study

Child...

Read more
An Examination of the Challenges of Cancer Pain Management in Nigerian Hospitals: A Case Study of University of Calabar Teaching Hospital, Cross River State

Background of the Study

Cancer pain is one of the most common and debilitating symptoms faced by cancer patients. The management of cance...

Read more
Analysis of Print Media Representation of Women in Politics in Zaria Local Government, Kaduna State

Chapter One: Introduction

1.1 Background of the Study

The representation of women in politics is a vital component of democrati...

Read more
Share this page with your friends




whatsapp