Fusion of Feature Selection Techniques and Machine learning Algorithms for Attack Classification on 802.11 Wi-Fi AWID Dataset

Sofia Jamil, Mayank Agarwal

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

Abstract

Vulnerabilities pertaining to the Media Access Control (MAC) layer are the primary reason for the existence of attacks in 802.11 Wi-Fi networks. In this paper, we aim to explore the Aegean Wi-Fi intrusion dataset (AWID) and design a model for detection and classification of network intrusions. There are three classes of attacks present in the dataset: impersonation, flooding, and injection. In intrusion detection systems (IDS), machine learning classifiers are one of the most effective solutions for preventing unauthorised access to resources. The key aspect of building a model based on machine learning is feature selection. In this paper, we have used four machine learning classifiers, namely Decision Tree, Random Forest, Gaussian NB, and Bernoulli Naive Bayes, for the classification of data as normal or intrusive. We have further applied filter methods and wrapper methods for feature selection. To the best of our knowledge, machine learning along with feature selection has never been used on the AWID-CLS-R dataset. The proposed work achieved the highest accuracy of 95.2% using a random forest classifier in 104 seconds using filter methods as the feature selection technique. In addition, we have used a confusion matrix and model building time for evaluating other machine-learning classifiers.

Original languageEnglish
Title of host publication2023 IEEE Guwahati Subsection Conference, GCON 2023
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9798350337785
DOIs
StatePublished - 1 Jan 2023
Externally publishedYes
Event2023 IEEE Guwahati Subsection Conference, GCON 2023 - Guwahati, India
Duration: 23 Jun 202325 Jun 2023

Publication series

Name2023 IEEE Guwahati Subsection Conference, GCON 2023

Conference

Conference2023 IEEE Guwahati Subsection Conference, GCON 2023
Country/TerritoryIndia
CityGuwahati
Period23/06/2325/06/23

Keywords

  • AWID
  • Intrusion
  • accuracy
  • feature selection
  • machine learning

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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