Da-sen Ren

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An anomaly intrusion detection algorithm based on minimal diversity is proposed. It can deal with mixed attributes, so overcomes the deficiencies of most unsupervised learning methods. Based on the minimal diversity measurement, we use a small amount of marked data to guide clustering. When detecting new records, we calculate its diversity from the existing(More)
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