Development of a Threat Intelligence-Based Security Framework in Federal University, Gashua, Yobe State
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Background of the Study
Cyber threats targeting higher education institutions have evolved significantly, making conventional security measures inadequate in detecting and mitigating sophisticated attacks. Threat intelligence involves the collection, analysis, and application of real-time data on cyber threats to enhance security measures (Adebayo & Okonkwo, 2024). By integrating threat intelligence into cybersecurity frameworks, institutions can anticipate, prevent, and respond to attacks more effectively.
Federal University, Gashua, faces persistent cybersecurity threats, including phishing attacks, malware infections, and data breaches. Traditional reactive security approaches fail to address these threats adequately due to a lack of predictive intelligence and automated response mechanisms (Usman & Bello, 2023). The implementation of a threat intelligence-based security framework can significantly enhance the university’s ability to detect, analyze, and respond to cyber threats proactively.
This study aims to develop a threat intelligence-based security framework that integrates real-time threat detection, behavioral analysis, and automated response mechanisms for enhanced cybersecurity at Federal University, Gashua.
Statement of the Problem
The increasing sophistication of cyber threats has exposed Federal University, Gashua, to vulnerabilities that traditional security approaches cannot effectively mitigate. The absence of a structured threat intelligence framework results in delayed threat detection and ineffective response strategies. Developing a security framework based on real-time threat intelligence can help address these issues and strengthen the university’s cybersecurity posture.
Objectives of the Study
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To analyze the current cybersecurity challenges faced by Federal University, Gashua.
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To develop a threat intelligence-based security framework incorporating real-time data analysis and automated response mechanisms.
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To evaluate the effectiveness of the proposed security framework in mitigating cyber threats.
Research Questions
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What are the major cybersecurity challenges affecting Federal University, Gashua?
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How can threat intelligence enhance the university’s security framework?
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What strategies can be employed to implement an effective threat intelligence-based security framework?
Significance of the Study
This study will contribute to strengthening cybersecurity in Federal University, Gashua, by providing a proactive approach to threat detection and mitigation. It will also serve as a reference for implementing similar frameworks in other academic institutions.
Scope and Limitations of the Study
The study is limited to the development of a threat intelligence-based security framework for Federal University, Gashua, Yobe State. It does not cover physical security threats or general IT management policies.
Definitions of Terms
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Threat Intelligence: The process of collecting and analyzing information about cyber threats to enhance security.
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Behavioral Analysis: The use of analytics to detect unusual patterns in network activity.
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Automated Response Mechanisms: Security protocols that automatically respond to detected threats.
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