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- W3099961035 abstract "Denial of Service (DoS) is one of the common attempts in security hacking for making computation resources unavailable or to impair geographical networks. In this paper, we detect Denial of Service (DoS) attack from publicly available datasets using Logistic regression, Naive Bayes algorithm and artificial neural networks. The results from our experiments indicate that the accuracy, ROC curve and balanced accuracy of artificial neural network were higher than Naive Bayes algorithm and logistic regression for slightly imbalanced distribution dataset." @default.
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- W3099961035 date "2020-08-01" @default.
- W3099961035 modified "2023-09-27" @default.
- W3099961035 title "Denial of Service (DoS) Attack Detection: Performance Comparison of Supervised Machine Learning Algorithms" @default.
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- W3099961035 doi "https://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech49142.2020.00088" @default.
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