Effective combining of feature selection techniques for machine learning-enabled IoT intrusion detection

Md Arafatur Rahman; A. Taufiq Asyhari; Ong Wei Wen; Husnul Ajra; Yussuf Ahmed; Farhat Anwar

doi:10.1007/s11042-021-10567-y

Effective combining of feature selection techniques for machine learning-enabled IoT intrusion detection

Md Arafatur Rahman^*
, A. Taufiq Asyhari
, Ong Wei Wen
, Husnul Ajra
, Yussuf Ahmed
, Farhat Anwar

^*Corresponding author for this work

University Malaysia Pahang
Bangabandhu Sheikh Mujibur Rahman Science and Technology University
International Islamic University Malaysia

Research output: Contribution to journal › Article › peer-review

65 Citations (SciVal)

Original language	English
Pages (from-to)	31381-31399
Number of pages	19
Journal	Multimedia Tools and Applications
Volume	80
Issue number	20
DOIs	https://doi.org/10.1007/s11042-021-10567-y
Publication status	Published (VoR) - Aug 2021

Funding

This paper is partially supported by the International Grants Number RDU192705 and UIC191516.

Keywords

Attack classification
Centralized intrusion detection
Deep learning
Feature selection
Impersonation attack
Internet of things
Wi-Fi

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10.1007/s11042-021-10567-y

Cite this

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title = "Effective combining of feature selection techniques for machine learning-enabled IoT intrusion detection",

keywords = "Attack classification, Centralized intrusion detection, Deep learning, Feature selection, Impersonation attack, Internet of things, Wi-Fi",

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AU - Rahman, Md Arafatur

AU - Asyhari, A. Taufiq

AU - Wen, Ong Wei

AU - Ajra, Husnul

AU - Ahmed, Yussuf

AU - Anwar, Farhat

N1 - Funding Information: This paper is partially supported by the International Grants Number RDU192705 and UIC191516. Publisher Copyright: © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.

PY - 2021/8

Y1 - 2021/8

KW - Attack classification

KW - Centralized intrusion detection

KW - Deep learning

KW - Feature selection

KW - Impersonation attack

KW - Internet of things

KW - Wi-Fi

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DO - 10.1007/s11042-021-10567-y

M3 - Article

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JO - Multimedia Tools and Applications

JF - Multimedia Tools and Applications

IS - 20

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Effective combining of feature selection techniques for machine learning-enabled IoT intrusion detection

Funding

Keywords

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