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In-depth feature selection for the statistical machine learning-based botnet detection in IoT networks

author
Kalakoti, Rajesh
Nõmm, Sven
Bahsi, Hayretdin
statement of authorship
Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
source
IEEE Access
publisher
IEEE
journal volume number month
vol. 10
year of publication
2022
pages
p. 94518-94535
url
https://doi.org/10.1109/ACCESS.2022.3204001
subject term
asjade internet
tehisõpe
selektsioon
robotvõrgud
detektsioon
keyword
feature selection
machine learning
Internet of Things
botnet
intrusion detection
ISSN
2169-3536
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Engineering
Computer science
Materials science
category (sub)
Engineering. General engineering
Computer science. General computer science
Materials science. General materials science
kvartiil
Q1
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Centre for digital forensics and cyber security
Centre for maritime cybersecurity
High-assurance software laboratory
Kalakoti, R., Nõmm, S., Bahsi, H. In-depth feature selection for the statistical machine learning-based botnet detection in IoT networks // IEEE Access (2022) vol. 10, p. 94518-94535. https://doi.org/10.1109/ACCESS.2022.3204001