Review: Ensemble Neural Network and KNN Classifiers for Intrusion Detection
Shalinee Chaurasia, Anurag Kumar Jain · 2013
In this paper; we represent the ensemble algorithm to improve the intrusion detection precision. Intrusion detection system monitors system activities for malicious supervise and produces reports to a management system. Intrusion system is a software application to update represents a new Ensemble Technique. Security is becoming a major problem for all networks, the main reason for using Data Mining Classification Methods for Intrusion Detection Systems due to the huge amount of existing and newly appearing network data that needs analysis. This paper proposes a combining classification approach for intrusion detection. In this paper we are using a neural network model; KNearest Neighbors method .These data mining classification Intrusion detection has proven to be useful for a variety of knowledge gathering. Work , implemented in two phases with the first phase of the neural network for better results and improve the KNN classifiers and we both bagging using it for the second stage of the well is to find a class of classification systems.