Enhancing the Security of School Databases Using AI-Based Intrusion Detection Systems in Secondary Schools in Minna, Niger State
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Background of the Study
In the digital era, the protection of school data has become a significant concern, as educational institutions increasingly rely on databases to store sensitive information. Secondary schools in Minna, Niger State, are facing challenges related to data security, including unauthorized access, data breaches, and cyberattacks that can compromise student records, financial data, and academic performance. As these threats become more sophisticated, traditional methods of security may no longer suffice in safeguarding school databases.
Artificial Intelligence (AI)-based intrusion detection systems (IDS) have emerged as a robust solution to enhance cybersecurity in educational institutions. AI-powered IDS are designed to monitor network traffic and identify unusual patterns that may indicate an attempted breach or cyberattack. By utilizing machine learning algorithms, these systems can adapt over time, detecting new types of threats and responding in real-time to mitigate potential risks. AI-based IDS can provide proactive security measures, reduce the reliance on human intervention, and offer continuous monitoring to ensure the integrity and confidentiality of school databases.
Statement of the Problem
Secondary schools in Minna, Niger State, face significant challenges in protecting their databases from cyber threats. Traditional security methods are proving ineffective against advanced cyberattacks, leading to concerns over data breaches and unauthorized access.
Objectives of the Study
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To assess the current state of database security in secondary schools in Minna, Niger State.
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To design and implement an AI-based intrusion detection system to secure school databases.
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To evaluate the effectiveness of AI-based IDS in preventing unauthorized access and cyberattacks.
Research Questions
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What is the current state of database security in secondary schools in Minna, Niger State?
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How can an AI-based intrusion detection system improve database security in secondary schools?
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What impact does an AI-based IDS have on the prevention of data breaches and unauthorized access?
Research Hypotheses
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Secondary schools in Minna, Niger State, have inadequate security measures in place to protect school databases.
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The implementation of an AI-based IDS will significantly improve the security of school databases.
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AI-based IDS will reduce the occurrence of data breaches and unauthorized access to school databases.
Significance of the Study
This study will contribute to improving the cybersecurity framework of secondary schools in Minna, Niger State, by implementing AI-driven solutions. It will ensure better protection of sensitive data, reducing the risk of data breaches and fostering a safer academic environment.
Scope and Limitations of the Study
The study will focus on secondary schools in Minna, Niger State, and will involve the design and implementation of an AI-based intrusion detection system for school databases. Limitations include possible resistance to the adoption of new technology and infrastructure constraints.
Definitions of Terms
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Intrusion Detection System (IDS): A security system designed to detect unauthorized access or anomalous activities in a computer network or database.
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Artificial Intelligence (AI): The simulation of human intelligence processes by machines, particularly for pattern recognition and decision-making.
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Cyberattack: A malicious attempt to breach or disrupt a computer system, network, or database.
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