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
https://www.scopus.com/sourceid/21100374601
https://www.scopus.com/record/display.uri?eid=2-s2.0-85137873867&origin=inward&txGid=427e79cea63c6bfb51a2ad1e7b91b85b
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000853802600001
category (general)
Engineering
Computer science
Materials science
Tehnika
Arvutiteadus
Materjaliteadus
category (sub)
Engineering. General engineering
Computer science. General computer science
Materials science. General materials science
Tehnika. Üldine inseneriteadus
Arvutiteadus. Üldine arvutiteadus
Materjaliteadus. Üldine materjaliteadus
quartile
Q1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Centre for digital forensics and cyber security
Centre for maritime cybersecurity
High-assurance software laboratory