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Published in: Vol. 1 Issue 1 Date of Publication: June 2012

Study on Data Mining Suitability for Intrusion Detection System (IDS)

S.Vijaya Peterraj,S.Pauline Precilla Mary

Page(s): 9-13 ISSN: 2278-2397

DOI: 10.20894/IJDMTA.102.001.001.003 Publisher: Integrated Intelligent Research (IIR)

Intrusion Detection System used to discover attacks against computers and network Infrastructures. There are many techniques used to determine the IDS such as Outlier Detection Schemes for Anomaly Detection, K-Mean Clustering of monitoring data, classification detection and outlier detection. The data mining approaches help to determine what meets the criteria as an intrusion versus normal traffic, whether a system uses anomaly detection, misuse detection, target monitoring, or stealth probes. This paper attempts to evaluate, categorize, compares and summarizes the performance of data mining techniques to detect the intrusion.

International Journal of Data Mining Techniques and Applications (IJDMTA) Print ISSN:2278-2419