print

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

author
Mirsadeghi, Seyed Mohammad Hadi
Bahsi, Hayretdin
Inbouli, Wissem
statement of authorship
Seyed Mohammad Hadi Mirsadeghi, Hayretdin Bahsi, Wissem Inbouli
source
Digital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings
location of publication
Cham
publisher
Springer
year of publication
2023
pages
p. 341-354
series
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 508
conference name, date
13th EAI International Conference, November 16-18, 2022
conference location
Boston, Massachusetts
url
https://doi.org/10.1007/978-3-031-36574-4_20
subject term
küberkriminalistika
küberkuriteod
kübersõda
sügavõpe
keyword
software-defined network
intrusion detection
deep learning
dataset balancing
ISBN
978-3-031-36574-4
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
tarkvarateaduse instituut
language
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