Enhancing IoT botnet attack detection in SOCs with an explainable active learning framework
author
Kalakoti, Rajesh
Nõmm, Sven
Bahsi, Hayretdin
statement of authorship
Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
source
2024 IEEE World AI IoT Congress (AIIoT)
location of publication
Piscataway, New Jersey
publisher
IEEE
year of publication
2024
pages
p. 265 - 272
conference name, date
5th IEEE Annual World AI IoT Congress, AIIoT 2024, 29-31 May 2024
conference location
Seattle, Washington
url
https://doi.org/10.1109/AIIoT61789.2024.10578957
subject term
aktiivõpe
tehisintellekt
asjade internet
küberturve
Scopus
https://www.scopus.com/record/display.uri?eid=2-s2.0-85198830955&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1109%2FAIIoT61789.2024.10578957%29&sessionSearchId=45c919fe8ff54496e2ffa842f2ed2798&relpos=0
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:001289206000039
keyword
active learning
explainable AI
IoT botnet
LIME
Post-Hoc explainability
SHAP
SOC
ISBN
979-835038780-3
notes
Bibliogr.: 20 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise