Unsupervised Anomaly Detection for Network Flow Using Immune Network Based K-means Clustering

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To detect effectively unknown anomalous attack behaviors of network traffic,an Unsupervised Anomaly Detection approach for network flow using Immune Network based K-means clustering(UADINK)is proposed.In UADINK,artificial immune network based K-means clus
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