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An Imbalanced Classification anomaly detection algorithm called “I-SVDD” for detecting Botnet was put forward in this paper. The algorithm combines the One-Class classification with the known Intrusion behaviors. This algorithm has proven effective in reducing the number of botnet clients. The true positives reaches nearly 100% and False Positive reaches 0% respectively. Hence, adjusting some parameters...
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