INTRUSION DETECTION SYSTEM

NNODUA, IFEANYI DAVID (2025) INTRUSION DETECTION SYSTEM. Other thesis, GODFREY OKOYE UNIVERSITY, ENUGU.

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Abstract

The rapid rise in cyber attacks in the Banking Sector has revolutionized the Development of an Intrusion detection system to isolate and control attacks in a banking system. This research projects presents ‘BankCash”, A web based design for banking system security which leverages on cutting-edge technologies to secure banking systems from cyber attacks seamlessly. The system being proposed in this study enables the location and IP addresses using IPGeolocation API of unsuspecting attackers to be gotten and traced without their knowing while they are given access to a clone of the original account dashboard. The system is developed using Sveltekit fullstack framework which is similar to nextjs, a severless database is used which is Superbase, Postgres sql database service is used to collect attackers information in a table , it is connected through the connection string and API key given in the login page, Two key algorithms were created, to check SQL Injections and bruteforce. The Threshold for bruteforce used is 3.

Item Type: Thesis (Other)
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Natural and Applied Sciences
Depositing User: Uchenna Eneogwe
Date Deposited: 04 Jun 2026 12:11
Last Modified: 04 Jun 2026 14:47
URI: http://eprints.gouni.edu.ng/id/eprint/5750

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