论文信息 - Performance Analysis of an Intrusion Detection Systems Based of Artificial Neural Network

Performance Analysis of an Intrusion Detection Systems Based of Artificial Neural Network

The Artificial Neural Network (ANN) enables systems to think and act intelligently. In recent years, ANNs are applied in security of network. Therefore, there are several researches in this area, particularly in Intrusion Detection System which are based on ANN. The objective of this paper is to select the most important and crucial parameters in order to provide an optimized ANN for Pattern Recognition which is able to detect attacks including the recently developed ones. First of all, we have taken some and all of the basic attributes to aliment the networks input and to verify the dependence between these parameters and attacks. Then, we have added the parameters relating to content and time-based ones in order to demonstrate their utility and performance and also to present in which case they are crucial.

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