The construction of index system for satellite communication network(SCN) evaluation is unstructured problem which is typically solved by creativity procedures. According to the development of satellite communication industry in China, a new creativity procedure named ISWBD (Integrated Stages With Brainstorming and Delphi) is designed based on Brainstorming and the Delphi procedure. Key techniques in ISWBD such as expert selection, question design, consensus measurement and iteration control are designed in detail. By ISWBD, an index system for SCN evaluation is built, which is objective, formal and feasible.

In view of the problems of using traditional machine learning method to detect the network intrusions, a network intrusion detection model based on multi-class imbalanced learning is proposed. Based on the consideration that there is within-class imbalance in large data sets and multi-class data sets, every class of the training data is firstly clustered. Some minimum bounding hyperspheres are formed by Support Vector Date Description (SVDD) according to the clustering results. A test sample is assigned the label of hyperspheres if its distance to the sphere center is smaller than or equal to the radius. The model is testified by experiments on network security data sets.

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