Local sensitivity count summarization method and system for network anomaly detection
A network anomaly and sensitivity technology, applied in the field of network communication, can solve problems such as judgment errors, reducing the effectiveness of counting summary queries, and query result deviations
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[0053] figure 1 A specific embodiment of a local sensitivity counting summary method for network anomaly detection of the present invention is shown, including the following steps:
[0054] Step 1: Obtain the offline network flow data set D from the network, and perform offline training and initialization on the local sensitivity summary data structure LSS(X) through the offline network flow data set D; use the network flow offline data for offline training to obtain a The data packet flow clustering model is used to guide the online insertion process of each local sensitivity summary data structure; the offline training in this embodiment regularly performs network flow data training, so as to update the data packet clustering model in time, and can also Avoid the cluster center shift caused by the real-time update process.
[0055] Step 1.1: Obtain the offline network flow data set D from the network, use the key key of each data packet in the network flow data as the uniqu...
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