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A secure intrusion detection and prevention (idp) framework for computer networks

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dc.contributor.author Armah, Albert
dc.date.accessioned 2024-04-08T12:40:38Z
dc.date.available 2024-04-08T12:40:38Z
dc.date.issued 2022
dc.identifier.uri http://41.74.91.244:8080/handle/123456789/2972
dc.description A Thesis in the Department of Information Technology, Faculty of Technical Education, submitted to the School of Graduate Studies, University of Education, Winneba, in partial fulfilment of the requirement for award of the Master of Science (Information Technology Education) Degree. en_US
dc.description.abstract Cyberattack is a serious criminal offense that causes serious information leakage and result in tremendous loss to data of users. A man-in-the-middle-attack (MITM) is a kind of cyberattack where an unapproved outsider enters into an online correspondence between two users. MITM is one of the most well-known and widespread attacks in cybersecurity, targeting connection between two parties and directly putting into jeopardy the confidentiality and coherence of the data itself. The attacker installs a malware that is in the middle-attack which can access, read and change secret information without the knowledge of the users. This issue is intense, and most of the cryptographic systems without decent authentication security are threatened to be hacked by the malware named ‘man-in-the-middle-attack’. It is through this problem that the researcher proposes a framework known as EL_ALBI framework that combines two protocols (IPS Rule and DHCP Snooping) to detect and prevent man in the middle attacks on computer networks. El_ALBI framework was simulated using packet tracer 8.1 platform where the algorithm of the framework is implemented on the network devices including the switch and routers to prevent any attacks coming on the network. The framework is tested using the devices on the network as attacker and servers. Based on the testing parameters such as packet lost, Denial of Service and Network Availability, the results show that the framework was able to detect and prevent man in the middle attacks on computer network. en_US
dc.language.iso en en_US
dc.publisher University of Education Winneba en_US
dc.subject Intrusion en_US
dc.subject Secure en_US
dc.subject Detection en_US
dc.title A secure intrusion detection and prevention (idp) framework for computer networks en_US
dc.type Thesis en_US


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