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This work’s main objective is to predict the attacker’s behavior pattern with high accuracy by using machine learning methods. According to the experimental and statical analysis, the proposed model has improved accuracy. The study was performed with two machine learning algorithms, K-Nearest Neighbor (KNN) and Decision Tree (DTA). On a dataset of...
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... bar chart shows the accuracy of the K-Nearest method, which looks to generate the most consistent results with the slightest standard deviation. There is an optimal substantially different between the K-Neighbor algorithm and the Decision Tree algorithm was achieved, which is p<0.05 through the Independent sample test as given in Figure 2. ...