A Feature Selection Approach Towards the Standardization of Network Security Datasets

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

Abstract

The increasing reliance on telematic applications has made networks attractive targets for cybercriminals. To address this concern, securing sensitive data by including a Network Intrusion Detection System (NIDS) is effective and feasible. Several approaches based on machine learning have been proposed to improve the detection accuracy of these systems and overcome associated drawbacks. However, machine learning is poorly adopted in the network domain, mainly because most datasets are outdated and guidance on selecting features that significantly contribute to a more efficient and effective learning process is needed. In this light, this paper proposes a standard set of features by applying feature selection techniques. A search on the feature space is conducted on five datasets to determine the best subset per dataset. The commonalities among the best subsets are then identified to define a standard set. Validation shows that, beyond improving the learning process, feature selection provides encouraging results for standardization of network datasets.

Original languageEnglish
Title of host publication2023 IEEE 9th International Conference on Network Softwarization
Subtitle of host publicationBoosting Future Networks through Advanced Softwarization, NetSoft 2023 - Proceedings
EditorsCarlos J. Bernardos, Barbara Martini, Elisa Rojas, Fabio Luciano Verdi, Zuqing Zhu, Eiji Oki, Helge Parzyjegla
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages257-261
Number of pages5
ISBN (Electronic)9798350399806
DOIs
StatePublished - 2023
Event9th IEEE International Conference on Network Softwarization, NetSoft 2023 - Madrid, Spain
Duration: 19 Jun 202323 Jun 2023

Publication series

Name2023 IEEE 9th International Conference on Network Softwarization (NetSoft)

Conference

Conference9th IEEE International Conference on Network Softwarization, NetSoft 2023
Country/TerritorySpain
CityMadrid
Period19/06/2323/06/23

Keywords

  • NIDS
  • feature selection
  • machine learning-based
  • standard dataset
  • statistical-based

Fingerprint

Dive into the research topics of 'A Feature Selection Approach Towards the Standardization of Network Security Datasets'. Together they form a unique fingerprint.

Cite this