A hierarchical intrusion detection model based on the PCA neural networks

作者：Liu, Guisong^*; Yi, Zhang; Yang, Shangming

来源：Neurocomputing, 2007, 70(7-9): 1561-1568.

DOI：10.1016/j.neucom.2006.10.146

• intrusion detection
• principal component analysis
• hierarchical detection model
• neural networks

Most of existing intrusion detection (ID) models with a single-level structure can only detect either misuse or anomaly attacks. A hierarchical ID model using principal component analysis (PCA) neural networks is proposed to overcome such shortages. In the proposed model, PCA is applied for classification and,neural networks are used for online computing. Experimental results and comparative studies based on the 1998 DARPA evaluation data sets are given, which show the proposed model can classify the network connections with satisfying performance.

• 出版日期2007-3
• 单位电子科技大学