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DESIGN AND IMPLEMENTATION OF A CREDIT CARD FRAUD DETECTIVE SYSTEM



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DESIGN AND IMPLEMENTATION OF A CREDIT CARD FRAUD DETECTIVE SYSTEM



ABSTRACT

This project automates the Credit Card Fraud Detective involved during Credit Card Fraud detection processing at the Ahmadu Bello University, Zaria, Kongo Campus. Credit Card Fraud Detective include Credit card detection and fraud operation . A database was implemented using MySQL for proper record management and PHP was used as scripting language for the system development. The student creates an account with the APPS system where he/she can save any amount of money anytime at the designated banks of APPS so that during registration, he/she simply accesses his/her account and pays for his/her credit card detection and accommodation. This project shows that it is easier for students to complete their registration automatically rather than going through some tedious manual processes during registration.

CHAPTER ONE

INTRODUCTION

1.1       Introduction

Developments in Information and Communication Technologies (ICTs) have made impact in all sectors of the society, including education. In higher education, application of ICTs in form of e-learning is changing the mode of learning and teaching processes [1]. School management is now done online, records are being kept in databases that are accessible through the web. Also Registration, Credit Card Fraud detection of schoolfees, generating timetables and much more are done using the web. The world of IT has gone far and wide that now makes us see the importance of using automated system rather than manual system.

Referring to the problem of credit card detection and fraud operation  as the Automatic Credit Card Fraud detection Portal System (APPS) problem. Given the large number of students that are typically involved in such problem, there is a growing interest in automating the process of Credit Card Fraud detection using centralized matching schemes that incorporate efficient algorithms for APPS. Examples of similar automated systems are in use in several universities.

In recent years, the advancement of technology has thus brought us into a new era of Web based systems. These systems are also known as enquiry systems and have the ability to input data, with a guaranteed response time and an assurance that the information is accurate and timely, then one is said to have a “Real Time System” [6]. A real time system is also a Web based system and comprises mainly of four (4) main components:

                                i.            A data-gathering component that collects data from the external environment.

                              ii.            An analysis component that transforms the received information as required by the application.

                            iii.            A control component that responds to the external environment.

                            iv.            A monitoring component that co-ordinates all other form of these components so that real-time response can be achieved.

Due to these advancements, organization need no longer be centralized when information services can reach the home and offices for processing from a number of geographical locations. However, Web based systems have helped tremendously in every field of human existence today. Hence this project work provides and creates an Automatic Credit Card Fraud detection Portal System (APPS) to the Ahmadu Bello University, Zaria, Kongo Campus through the development of a Web based system that will in turn improve the efficiency and effectiveness of the university.

1.2       Statement of the Problem

In most Nigerian Institutions of higher learning especially the Universities and Polytechnics, students enrolment to these higher institutions is continuously on the increase, and each year every student is expected to register for a session and therefore the student has to make Credit Card Fraud detection for the session. This increase in student’s population over the years makes the period of registration stressful and Credit Card Fraud detection of credit card detection and hostel accommodation a very tedious exercise. The existing system of Credit Card Fraud detection of credit card detection and fraud operation  at the Ahmadu Bello University, Zaria, Kongo Campus involves a student going online to generate a transaction ID which is then taken to the bank for Credit Card Fraud detection. If the student needs to get fraud operation , he/she has to go back online, book a room, generate another transaction ID and then take it back to the bank. This process is causing a lot of problems because many students will have to line up in unending queues in banks where so many unforeseen events might happen. A student might lose his/her money; get tired due to stress and so many other events. Most students during registration are always at home and will have to come back to school for registration because most banks outside Zaria does not provide this service. 

Citation - Reference

All Project Materials Inc. (2020). DESIGN AND IMPLEMENTATION OF A CREDIT CARD FRAUD DETECTIVE SYSTEM. Available at: https://researchcub.info/department/paper-8452.html. [Accessed: ].

DESIGN AND IMPLEMENTATION OF A CREDIT CARD FRAUD DETECTIVE SYSTEM


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This project automates the Credit Card Fraud Detective involved during Credit Card Fraud detection processing at the Ahmadu Bello University, Zaria, Kongo Campus. Credit Card Fraud Detective include Credit card detection and fraud operation . A database was implemented using MySQL for proper record management and PHP was used as scripting language for the system development. The student creates an account with the APPS system where he/she can save any amount of money anytime at the designated banks of APPS so that during registration, he/she simply accesses his/her account and pays for his/her credit card detection and accommodation. This project shows that it is easier for students to complete their registration automatically rather than going through some tedious manual processes during registration... Click here for more

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