print

Unsupervised anomaly based botnet detection in IoT networks

author
Nõmm, Sven
Bahsi, Hayretdin
statement of authorship
Sven Nõmm, Hayretdin Bahşi
source
17th IEEE International Conference on Machine Learning and Applications : ICMLA 2018, 17–20 December 2018, Orlando, Florida, USA : proceedings
location of publication
Danvers
publisher
IEEE
year of publication
2018
pages
p. 1048-1053
conference name, date
2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 17–20 December 2018
conference location
Orlando, USA
url
https://doi.org/10.1109/ICMLA.2018.00171
subject term
seire
robotvõrgud
asjade internet
subject of form
konverentsikogumikud
keyword
anomaly detection
feature selection
dimensionality reduction
botnet attack
internet of things
ISBN
978-1-5386-6804-7
notes
Bibliogr.: 17 ref
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Centre for digital forensics and cyber security
Centre for maritime cybersecurity
High-assurance software laboratory
Nõmm, S., Bahsi, H. Unsupervised anomaly based botnet detection in IoT networks // 17th IEEE International Conference on Machine Learning and Applications : ICMLA 2018, 17–20 December 2018, Orlando, Florida, USA : proceedings. Danvers : IEEE, 2018. p. 1048-1053. https://doi.org/10.1109/ICMLA.2018.00171