prindi

Deep learning-based detection of cyberattacks in software-defined networks

autor
Mirsadeghi, Seyed Mohammad Hadi
Bahsi, Hayretdin
Inbouli, Wissem
vastutusandmed
Seyed Mohammad Hadi Mirsadeghi, Hayretdin Bahsi, Wissem Inbouli
allikas
Digital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings
ilmumiskoht
Cham
kirjastus/väljaandja
Springer
ilmumisaasta
2023
leheküljed
p. 341-354
seeria-sari
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 508
konverentsi nimetus, aeg
13th EAI International Conference, November 16-18, 2022
konverentsi toimumispaik
Boston, Massachusetts
leitav
https://doi.org/10.1007/978-3-031-36574-4_20
märksõna
küberkriminalistika
küberkuriteod
kübersõda
sügavõpe
võtmesõna
software-defined network
intrusion detection
deep learning
dataset balancing
ISBN
978-3-031-36574-4
teaduspublikatsioon
teaduspublikatsioon
klassifikaator
3.1
TTÜ struktuuriüksus
tarkvarateaduse instituut
keel
inglise
Mirsadeghi, S. M. H., Bahsi, H., Inbouli, W. Deep learning-based detection of cyberattacks in software-defined networks // Digital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings. Cham : Springer, 2023. p. 341-354. (Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 508). https://doi.org/10.1007/978-3-031-36574-4_20