A New Approach to Intrusion Detection in Database Using MLP

In this modern era of internet, security of data has become a primary concern due to exposure of databases on the web. The present study approaches the problem from a pattern recognition point of view, where a Multi Layer Perceptron Network is used to capture user behaviour patterns. It proposes that neural networks are not only capable of outperforming its heavier expert systems counterparts but in many ways better suits the demands and dynamic nature of the problem. In exploiting the strengths of neural networks in recognition, classification and generalisation this research illustrates the effectiveness of the neural network contribution to the application of intruder detection in database.