A Survey on Intrusion Detection System in Data Mining

This paper presents a survey of techniques of intrusion detection system using supervised and unsupervised learning. The techniques are categorized based upon different approaches like Statistics, Data mining, Neural Network Based and Self Organizing Maps Based approaches. The detection type is borrowed from intrusion detection as either misuse detection or anomaly detection. It provides the reader with the major advancement in the malware research using these approaches the features and categories in the surveyed work based upon the above stated categories. This served as the major contribution