期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2020
卷号：68
期号：2
页码：59-63
DOI：10.14445/22312803/IJCTT-V68I2P109
出版社：Seventh Sense Research Group
摘要：Growing cybercrimes have become a serious concern for network users. It has become a real challenge for organizations to develop network security systems to protect data from all kinds of illegal access. Since intruders keep applying different techniques to break the security barriers, the techniques to counter such attacks are also being developed by the researchers. In this work, a model has been proposed for building an effective intrusion detection system using tree based classification techniques, namely, BF Tree, FT, J48, NB Tree, Random Forest, and Random Tree. Further, three natureinspired and two heuristic search based methods have been applied for selecting important features prior to the classification process. The performance of the model has been evaluated on the NSLKDD dataset in terms of accuracy, precision, detection rate, and false alarm rate.
