Anomaly Intrusion Detection System using Random Forests and k-Nearest Neighbor

	International Journal of P2P Network Trends and Technology (IJPTT)
	© 2013 by IJPTT Journal
	Volume-3 Issue-1
	Year of Publication : 2013
	Authors : Phyu Thi Htun, Kyaw Thet Khaing

Citation

Phyu Thi Htun, Kyaw Thet Khaing"Anomaly Intrusion Detection System using Random Forests and k-Nearest Neighbor". International Journal of P2P Network Trends and Technology (IJPTT), V3(1):39-43  Jan - Feb 2013, ISSN:2249-2615, www.ijpttjournal.org. Published by Seventh Sense Research Group.

Abstract

This paper proposed a new approach to design the anomaly intrusion detection system using not only misuse but also anomaly intrusion detection for both training and detection of normal or attacks respectively. The utilized method is the combination of Machine Learning and pattern recognition method for Anomaly Intrusion Detection System (AIDS).

References

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Keywords

AIDS, Random Forest, k-Nearest Neighbour, unknown attacks