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Clustering, as a kind of data mining methods, with the characteristic of no supervising, quick modeling is widely used in intrusion detection. However, most of the traditional clustering algorithms use a single data point as a calculating unit, and the drawback exists in time wasting to calculate one data point after another when clustering, meanwhile, a(More)
As a kind of stream data mining method, stream clustering has great potentiality in areas such as network traffic analysis, intrusion detection, etc. This paper proposes a novel grid-based clustering algorithm for stream data, which has both advantages of grid mapping and DBSCAN algorithm. The algorithm adopts the two-phase model and in the online phase, it(More)
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