NIDSs deal with the problem of data reduction before analyzing the events. Two important measures used in ANIDS are proposed: FSS and new feature construction. A novel algorithm named SRRW is put forward first, which can produce OFS by recognizing all strongly relevant features and restrict them in searching process. A feature construction method is used to get the OFS. The correlations between the original features can be analyzed by factor loading matrix.