Study and Analysis of Intrusion Detection System Using Random Forest and Linear Regression
DOI:
https://doi.org/10.21533/pen.v6.i1.1704Abstract
The cyber security is the challenging job in present network system. There are number of existing Intrusion Detection Systems are available to overcome the issues, in this paper we proposed the linear regression and random forest technique is used. The latest UNSW-NB15 dataset is used for analyzing the proposed methods. Selecting significant features and removing irrelevant features by using proposed learning methods as well as identifying the best method by evaluating the results obtained.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
