Feature Importance Ranking for Increasing Performance of Intrusion Detection System

Achmad Akbar Megantara, Tohari Ahmad

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

12 Citations (Scopus)

Abstract

The performance of the Intrusion Detection System (IDS) depends on the quality of the model generated in the training process. An appropriate process positively affects not only the performance but also computational time for detecting intrusions. Reliable training data can be obtained by preprocessing the dataset, which can be feature extraction, reduction, and transformation. Generally, feature selection has become the main problem. In this research, we work on that issue by developing a new method based on Feature Importance Ranking Classification. We propose to reduce the size of the dimension by combining Feature Importance Ranking to calculate the importance of each feature and Recursive Features Elimination (RFE). The results of the experiment show that the proposed method raises the performance over the existing methods. It can be proven by evaluating some metrics: Accuracy, sensitivity, specificity, and false alarm rate.

Original languageEnglish
Title of host publication2020 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020
EditorsIndra Hermawan, Muhammad Yusuf Bagus Rasyidin, Malisa Huzaifa, Iklima Ermis Ismail, Asep Taufik Muharram, Anggi Mardiyono, Noorlela Marcheeta, Dewi Kurniawati, Ade Rahma Yuly, Ariawan Andi Suhanda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-42
Number of pages6
ISBN (Electronic)9781728182476
DOIs
Publication statusPublished - 15 Sept 2020
Event3rd International Conference on Computer and Informatics Engineering, IC2IE 2020 - Depok, Indonesia
Duration: 15 Sept 202016 Sept 2020

Publication series

Name2020 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020

Conference

Conference3rd International Conference on Computer and Informatics Engineering, IC2IE 2020
Country/TerritoryIndonesia
CityDepok
Period15/09/2016/09/20

Keywords

  • data mining
  • feature importance
  • intrusion detection system
  • network security
  • recursive features elimination

Fingerprint

Dive into the research topics of 'Feature Importance Ranking for Increasing Performance of Intrusion Detection System'. Together they form a unique fingerprint.

Cite this