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 |