Data Mining in Intrusion Detection: A Comparative Study of Methods, Types and Data Sets
Chandrashekhar Azad, Vijay Kumar Jha · International Journal of Information Technology and Computer Science · 2013
In the era of info rmation and communicat ion technology, Security is an important issue.A lot of effort and finance are being invested in this sector.Intrusion detection is one of the mos t prominent fields in this area.Data min ing in network intrusion detection can automate the network intrusion detection field with a greater efficiency.This paper presents a literature survey on intrusion detection system.The research papers taken in this literature survey are published fro m 2000 to 2012.We can see that almost 67 % of the research papers are focused on anomaly detection, 23 % on both anomaly and misuse detection and 10 % on misuse detection.In this literature survey statistics shows that 42 % KDD cup dataset, 20 % DA RPA dataset and 38 % other datasets are used by the different researchers for testing the effectiveness of their proposed method for misuse detection, anomaly detection or both.