Effective Analysis on Remote to User (R2L) Attacks Using Random Forest AlgorithmJournal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 5)
Publication Date: 2014-05-30
Authors : S. Revathi; A. Malathi;
Page : 317-319
Keywords : Intrusion detection; Remote-to-User attack; Random Forest..;
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.
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Last modified: 2014-06-05 14:43:11