Random Forest Algorithm in Intrusion Detection System : A Survey

Authors(2) :-Kritika Singh, Bharti Nagpal

A randomized forest algorithm is based on the classification algorithm under supervision. In this algorithm, the forest is created randomly. The more the number of trees is present, the more accurate result they produced. It is important to note that decision-making using the gain or gain approach is not the same as creating a random forest. This paper presents a survey of Random Forest and other data mining techniques used in Intrusion Detection System.

Authors and Affiliations

Kritika Singh
Ambedkar Institute of Advanced Communication Technologies and Research, Department of Computer Science & Engineering, New Delhi, India
Bharti Nagpal
Ambedkar Institute of Advanced Communication Technologies and Research, Department of Computer Science & Engineering, New Delhi, India

Random Forest, Intrusion Detection System, NIDS, HIDS

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 673-676
Manuscript Number : CSEIT1835160
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Kritika Singh, Bharti Nagpal, "Random Forest Algorithm in Intrusion Detection System : A Survey", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.673-676, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1835160

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