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Journal article
IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method
Frederick T Sheldon
,
Khalid Albulayhi
,
Qasem Abu Al-Haija
,
Suliman A Alsuhibany
,
Ananth A Jillepalli
and
Mohammad Ashrafuzzaman
Show details for 6 authors
Applied Sciences - Basel, Vol.12(10)
2022
DOI:
https://doi.org/10.3390/app12105015
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Appears in
Artificial Intelligence and Machine Learning Research
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Title
IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method
Creators
Frederick T Sheldon - University of Idaho
Khalid Albulayhi - University of Idaho
Qasem Abu Al-Haija
Suliman A Alsuhibany - Qassim University
Ananth A Jillepalli - Washington State University
Mohammad Ashrafuzzaman - Ashland University
Publication Details
Applied Sciences - Basel, Vol.12(10)
Identifiers
996631178601851
Academic Unit
Computer Science
Language
English
Resource Type
Journal article
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