Using MedBIoT dataset to build effective machine learning-based IoT botnet detection systems
author
Guerra Manzanares, Alejandro
Medina-Galindo, Jorge
Bahsi, Hayretdin
Nõmm, Sven
statement of authorship
Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm
source
Information Systems Security and Privacy : 6th International Conference, ICISSP 2020, Valletta, Malta, February 25–27, 2020 : revised selected papers
location of publication
Cham
publisher
Springer Nature
year of publication
2022
pages
p. 222–243
series
Communications in Computer and Information Science ; 1545
conference name, date
Information Systems Security and Privacy : 6th International Conference, ICISSP 2020, February 25–27, 2020
conference location
Valletta, Malta
url
https://doi.org/10.1007/978-3-030-94900-6_11
subject term
asjade internet
tehisõpe
andmed
Scopus
https://www.scopus.com/sourceid/17700155007
https://www.scopus.com/record/display.uri?eid=2-s2.0-85123979591&origin=inward&txGid=1c5a5f68e5a5a56afc9a3d3464c71358
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:000765271900011
quartile
Q4
category (general)
Mathematics
Matemaatika
Computer science
Arvutiteadus
category (sub)
Mathematics. General mathematics
Matemaatika. Üldmatemaatika
Computer science. General computer science
Arvutiteadus. Üldine arvutiteadus
keyword
Botnet
Internet of Things
Dataset
Intrusion detection
Anomaly detection
IoT
Machine learning
ISSN
1865-0929
ISBN
978-3-030-94899-3
978-3-030-94900-6 (online)
notes
Bibliogr.: 58 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Centre for digital forensics and cyber security
Centre for maritime cybersecurity
High-assurance software laboratory