Improving Intrusion Detection System by Estimating Parameters of Random Forest in Boruta

Alif Nur Iman, Tohari Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Citations (Scopus)

Abstract

To overcome the security problem of computer networks, the Intrusion Detection System (IDS) is developed. It is intended to identify an attack. Various types of IDS are built according to the environment: signature-based and anomaly-based. This second type of IDS can identify attacks that have not been known. In this case, machine learning is a possible method to develop an IDS model, which comprises many processes, including feature selection. The Boruta Algorithm is a feature selection method that is good enough to apply to machine learning. However, in its application on the NSL-KDD dataset, this algorithm has an infinite loop problem. This paper presents the analysis and estimation of random forest parameters, precisely the depth and number of trees; additionally, the use of entropy and Gini index as z-score in the Boruta Algorithm is considered. The experimental result shows that the proposed method can prevent the infinite loop, which indirectly improves the performance of the existing algorithm.

Original languageEnglish
Title of host publicationProceeding - ICoSTA 2020
Subtitle of host publication2020 International Conference on Smart Technology and Applications: Empowering Industrial IoT by Implementing Green Technology for Sustainable Development
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728130835
DOIs
Publication statusPublished - Feb 2020
Externally publishedYes
Event2020 International Conference on Smart Technology and Applications, ICoSTA 2020 - Surabaya, Indonesia
Duration: 20 Feb 2020 → …

Publication series

NameProceeding - ICoSTA 2020: 2020 International Conference on Smart Technology and Applications: Empowering Industrial IoT by Implementing Green Technology for Sustainable Development

Conference

Conference2020 International Conference on Smart Technology and Applications, ICoSTA 2020
Country/TerritoryIndonesia
CitySurabaya
Period20/02/20 → …

Keywords

  • Boruta algorithm
  • Intrusion detection system
  • Machine learning
  • Network security
  • Random forest

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