文章基本信息

标题：Classifying populated IP Addresses using SVM Clustering and Vertical partition id3 decision Tree
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作者：Gagan Sharma ; Yogadhar Pandey
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：156-158
出版社：TechScience Publications
摘要：The addresses that are estimated 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 SVM and then applying vertical partition based id3 decision tree.