Research on Intrusion Detection Based on Graph Partitioning Method

Provided by: Binary Information Press
Topic: Security
Format: PDF
An anomaly intrusion detection algorithm based on graph partitioning method was presented. It could solve the problems of the low detection rate of the intrusion detection algorithms based on unsupervised learning, and the insufficiency of training samples of the intrusion detection algorithms based on supervised learning. It firstly gets the threshold for clustering using the labeled data, then clusters lots of unlabelled data using graph partitioning method, and then classifies the clusters using graph partitioning method and minimal labeled data.

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