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Improving transparency and explainability of deep learning based IoT botnet detection using explainable artificial intelligence (XAI)

author
Kalakoti, Rajesh
Nõmm, Sven
Bahsi, Hayretdin
statement of authorship
Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahs
source
22nd IEEE International Conference on Machine Learning and Applications : ICMLA 2023 : 15-17 December 2023, Jacksonville Riverfront, Florida : proceedings (2023)
location of publication
Piscataway, New Jersey
publisher
IEEE
year of publication
2023
pages
p. 595 - 601
conference name, date
22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023, 15-17 December 2023
conference location
Jacksonville, Florida, USA
url
https://doi.org/10.1109/ICMLA58977.2023.00088
subject term
süvaõpe
tehisintellekt
robotvõrgud
tehisnärvivõrgud
keyword
deep learning
explainable artificial intelligence
loT botnet
post-hoc explanation
XAI
ISBN
979-835034534-6
notes
Bibliogr.: 35 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise
Kalakoti, R., Nõmm, S., Bahsi, H. Improving transparency and explainability of deep learning based IoT botnet detection using explainable artificial intelligence (XAI) // 22nd IEEE International Conference on Machine Learning and Applications : ICMLA 2023 : 15-17 December 2023, Jacksonville Riverfront, Florida : proceedings (2023). Piscataway, New Jersey : IEEE, 2023. p. 595 - 601. https://doi.org/10.1109/ICMLA58977.2023.00088