期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：5
页码：4971-4975
出版社：TechScience Publications
摘要：Intrusion detection involves a lot of tools that are used to identify different types of attacks against computer systems and networks. With the development of network technologies and applications network attacks are greatly increasing both in number and severe. Open source and commercial network intrusion detection tools are not able to predict new type of attacks based on the previous attacks. So, data mining is one of the methods used in IDS (Intrusion Detection System). In recent years data mining based network intrusion detection system has been giving high accuracy and good detection on different types of attacks. In this paper, the performance of the data mining algorithms like C4.5 and improved C4.5 are being used in order to detect the different types of attacks with high accuracy and less error prone.
