文章基本信息

标题：An Efficient ID3 Decision Tree for the Classification of Populated IP Address Using K-Mean Clustering
本地全文：下载
作者：Rajesh Kumar Sharma ; Anurag Jain ; Subha Dubey 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2013
卷号：4
期号：1
页码：159-162
出版社：TechScience Publications
摘要：In this paper addresses estimating the number of the users of a specific application behind IP address (IPs). This problem is central to combating abusive traffic, such as DDoS attacks, ad click fraud and email spam, scams, phishing, and malware distribution. Here we proposed an efficient method to classify the IP addresses that are associated with a large number of user requests. The idea is to classify the network traffic based on the IP addresses by first clustering the data using K-mean clustering and then applying horizontal partition based id3 decision tree.