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Effective Analysis on Remote to User (R2L) Attacks Using Random Forest Algorithm

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 5)

Publication Date:

Authors : ; ;

Page : 317-319

Keywords : Intrusion detection; Remote-to-User attack; Random Forest..;

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This paper focus on analysis of Remote to User attack using random forest algorithm. The R2L attack occurs when the attacker tries to send packets to a machine over a network who have no account on it. The R2L attack leads to vulnerability issues to access secured information from the machine. In intrusion detection system the R2L attacks plays a vital role in accessing unauthorized information and it affects security issues more effectively. This paper proposed a new concept of analyzing individual attacks of R2L using efficient machine learning random forest algorithm which shows high efficiency.

Last modified: 2014-06-05 14:43:11