|Project Description: ||In recent years Data mining techniques have been applied in many different fields including marketing, manufacturing, process control, fraud detection and network management. Over the past several years a growing number of research projects have applied data mining to various problems in intrusion detection. anomaly detection as a mechanism for Intrusion detection has been an active are of research. The goal of my project is to design and implement an anomaly detector using data mining The project will include the use of open source tools and/or modifications to existing tools to incorporate the goals of collection, filtering, storage, archival, and attack detection in a cohesive software system. This paper also surveys a representative cross section of these research efforts. Conclusions are drawn and directions for future research are suggested.