Study and analysis of intrusion detection system using random forest and linear regression

Sathish P. Kumar, Arun Raaza


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.

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Copyright (c) 2019 Sathish S

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ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License