An Anomaly Intrusion Detection on Database Operation by Fuzzy ART Neural Network

Abstract

Due to the rising and flourishing of the information technology, the outsourcing of enterprises can reduce the system development time and cost so that many enterprises select information system outsourcing instead of development by themselves. The question then arises as to protect company security information and to monitor the detail operation of database system. This paper discusses the security question of information outsourcing and uses the Adaptive Resonance Theory neural network to build a model of company security judgment. The mode is constructed by ART network that is based on analysis the log file of connections from client sides to the database of server side. Finally, an experiment indicates our system have good results on anomaly intrusion detection of database operation.