An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection

Mohammed Al-Sarem; Faisal Saeed; Eman H. Alkhammash; Norah Saleh Alghamdi

doi:10.3390/s22010185

An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection

Mohammed Al-Sarem, Faisal Saeed^*, Eman H. Alkhammash, Norah Saleh Alghamdi^*

^*Corresponding author for this work

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

38 Citations (SciVal)

Original language	English
Article number	185
Journal	Sensors (Switzerland)
Volume	22
Issue number	1
DOIs	https://doi.org/10.3390/s22010185
Publication status	Published (VoR) - 28 Dec 2021

Funding

This work is supported by Taif University Researchers Supporting Project number (TURSP-2020/292) Taif University, Taif, Saudi Arabia. In addition, this research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-track Research Funding Program to support publication in the top journal (Grant no. 42-FTTJ-93).

Funders	Funder number
Deanship of Scientific Research at Princess Nourah bint Abdulrahman University	42-FTTJ-93
Taif University	TURSP-2020/292

Keywords

intrusion detection systems; Internet of Things; botnet attack detection; feature selection; machine learning; ensemble methods

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10.3390/s22010185

https://www.mdpi.com/1424-8220/22/1/185

Cite this

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title = "An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection",

keywords = "intrusion detection systems; Internet of Things; botnet attack detection; feature selection; machine learning; ensemble methods",

author = "Mohammed Al-Sarem and Faisal Saeed and Alkhammash, {Eman H.} and Alghamdi, {Norah Saleh}",

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doi = "10.3390/s22010185",

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AU - Al-Sarem, Mohammed

AU - Saeed, Faisal

AU - Alkhammash, Eman H.

AU - Alghamdi, Norah Saleh

PY - 2021/12/28

Y1 - 2021/12/28

KW - intrusion detection systems; Internet of Things; botnet attack detection; feature selection; machine learning; ensemble methods

UR - https://www.open-access.bcu.ac.uk/12582

U2 - 10.3390/s22010185

DO - 10.3390/s22010185

M3 - Article

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An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection

Funding

Keywords

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