Classification of Attacks in Data Mining
International Journal of Innovations in Engineering and Technology · 2017
Intrusion Detection and data mining are the major part of almost every application.With a diverse expansion of internet use, there are millions of intrusions that need to be detected and to get rid of them.Intrusion Detection System (IDS) is an effective tool that helps to prevent unauthorized access to system resources by various mechanisms and one among them is using machine learning tool called weka.It is an open source environment available for machine learning and data mining that could be used for classification of attacks.Collection of machine learning algorithms for data mining task written in java used for classification, clustering, association etc.This paper emphasis on performance evaluation and comparison of various classifiers on the basis of different types of attacks The paper is set to make comparative analyses among machine learning algorithm zeror, oner, naive, J48.