Değiştirilmiş KNN algoritmasını ve özellik ağırlıklandırmayı kullanarak DNS trafiği tabanlı izinsiz giriş tespiti
2024
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Advisor: Prof. Dr. Osman Nuri Uçan
Abstract (EN)
All computer networks can be the target of attacks, from the smallest, such as home networks, to the largest and most complex, such as corporate networks. To make the situation even worse, programs can easily be obtained through the Internet (or by other means), and then used for malicious actions, making any inexperienced person have the same skills as a professional It is necessary to propose a new database that contains a portion of the traffic that is present on an existing actual network environment in order to carry out testing in a real environment. This is necessary in order to accomplish the goal of conducting testing in a real environment The main objective is to create a network user control mechanism in order to recognize the user's legitimacy through their actions.
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Dr. Haneen Kadhım Hwaıdı Al Fadhlı
Institution
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Haneen Kadhım Hwaıdı Al Fadhlı (Master Thesis). Değiştirilmiş KNN algoritmasını ve özellik ağırlıklandırmayı kullanarak DNS trafiği tabanlı izinsiz giriş tespiti, 2024, Altınbaş University.
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