Optimization of Network Authentication Methods in Federal University, Lafia, Nasarawa State
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
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- NGN 5000
Background of the Study
Network authentication plays a crucial role in securing campus networks, ensuring that only authorized users and devices are granted access to the university's resources. In educational institutions like Federal University, Lafia, where a diverse group of students, faculty, and staff access the network, traditional authentication methods may not be sufficient to handle the complexity and scale of user management. As cybersecurity threats continue to evolve, it is critical for universities to employ robust authentication mechanisms that provide higher levels of security without compromising user experience. Optimizing network authentication methods can involve integrating multi-factor authentication (MFA), biometrics, or advanced password management protocols. This study aims to investigate how to enhance the existing authentication methods at Federal University, Lafia, ensuring more secure access to the network while maintaining usability.
Statement of the Problem
The current network authentication methods used at Federal University, Lafia, may not provide sufficient protection against modern cybersecurity threats. These traditional methods, such as username-password combinations, are vulnerable to hacking techniques like brute-force attacks and phishing. With an increasing number of users and devices accessing the network, these outdated authentication methods have become a security liability. There is a need to optimize these methods to improve network security while ensuring accessibility and ease of use for legitimate users. This study aims to explore advanced authentication strategies to enhance the security of the university’s network.
Objectives of the Study
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To evaluate the effectiveness of the current network authentication methods used at Federal University, Lafia.
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To explore the potential benefits of advanced authentication methods, such as multi-factor authentication and biometrics, for improving network security.
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To propose optimized authentication strategies for enhancing the security of Federal University, Lafia’s network.
Research Questions
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What are the vulnerabilities in the current authentication methods used at Federal University, Lafia?
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How can multi-factor authentication and biometric systems improve network authentication security?
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What are the potential challenges in implementing optimized authentication methods at Federal University, Lafia?
Scope and Limitations of the Study
This study will focus on optimizing network authentication methods for Federal University, Lafia, specifically for its campus network and online systems. The study will not address broader authentication issues outside the university’s IT infrastructure. Limitations include potential resistance to change among users and challenges in implementing biometric or multi-factor authentication solutions.
Definitions of Terms
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Authentication: The process of verifying the identity of users or devices before granting access to network resources.
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Multi-factor Authentication (MFA): A security process that requires users to provide two or more verification factors to gain access.
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Biometric Authentication: The use of unique physical characteristics, such as fingerprints or facial recognition, to verify the identity of users.
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