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Design of an Efficient Network Monitoring Dashboard for Universities in Federal University, Birnin Kebbi, Kebbi State

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

Background of the Study

Network monitoring is a vital aspect of cybersecurity in educational institutions, ensuring the health and security of a university's network infrastructure. In Federal University, Birnin Kebbi, Kebbi State, the university’s network supports various academic, administrative, and research activities, which require continuous monitoring to ensure reliable performance and detect security issues. However, the current network monitoring tools used in the university may not provide an efficient and comprehensive view of the network’s performance and security status.

A network monitoring dashboard is an essential tool that offers real-time data and analytics on the network’s operational status, including traffic patterns, security incidents, bandwidth usage, and potential vulnerabilities. An efficient monitoring dashboard would provide administrators with actionable insights, allowing them to quickly address issues and optimize network performance. This study aims to design an efficient network monitoring dashboard that would provide a unified view of the university’s network, enhancing the ability to detect, manage, and prevent issues proactively.

Statement of the Problem

Federal University, Birnin Kebbi faces challenges in monitoring its vast and complex network infrastructure. Existing monitoring tools are either insufficient, disconnected, or difficult to interpret, which makes it challenging for network administrators to ensure optimal performance and detect security threats in real-time. The lack of a centralized, user-friendly monitoring system leads to inefficiencies in network management, delayed responses to incidents, and possible downtime that disrupts university activities. This study seeks to address these challenges by designing an intuitive, efficient network monitoring dashboard tailored to the university’s needs.

Objectives of the Study

  1. To assess the current network monitoring practices and tools used at Federal University, Birnin Kebbi.

  2. To design a user-friendly, efficient network monitoring dashboard tailored to the university’s network infrastructure.

  3. To evaluate the effectiveness of the proposed dashboard in enhancing network monitoring and improving operational efficiency.

Research Questions

  1. What are the current network monitoring tools and practices at Federal University, Birnin Kebbi?

  2. How can a network monitoring dashboard improve the visibility and management of the university's network infrastructure?

  3. What are the key features that should be incorporated into the network monitoring dashboard to ensure its efficiency and usability?

Significance of the Study

The study will provide Federal University, Birnin Kebbi with an innovative, practical solution for improving network management and security. The proposed network monitoring dashboard will help network administrators quickly identify potential issues, optimize network performance, and enhance overall operational efficiency, ensuring uninterrupted services for academic and administrative functions.

Scope and Limitations of the Study

This study will focus on the design and development of a network monitoring dashboard specifically for the university’s network infrastructure. It will not extend to the implementation of the dashboard or broader IT infrastructure upgrades. The study will be limited to assessing the university's network performance and security status, excluding other operational aspects of the university’s technology environment.

Definitions of Terms

  • Network Monitoring: The process of observing and analyzing the network’s health, performance, and security.

  • Dashboard: A user interface that presents real-time data and analytics in an accessible and understandable format.

  • Bandwidth Usage: The amount of data transmitted over a network during a given time frame.


 





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