Synthetic Data-Driven Explainability for Federated Learning-based Intrusion Detection System
author
Kalakoti, Rajesh
Bahsi, Hayretdin
Nõmm, Sven
statement of authorship
Rajesh Kalakoti, Hayretdin Bahsi, Sven Nõmm
source
IEEE Internet of Things Journal
publisher
IEEE
journal volume number month
13, 4
year of publication
2025
pages
28 p. : ill
url
https://doi.org//10.1109/JIOT.2025.3633946
subject term
tehisintellekt
küberturve
asjade internet
keyword
federated learning (FL)
explainable AI (XAI)
intrusion detection systems (IDS)
synthetic data
generative adversarial networks
trustworthy artificial intelligence
ISSN
2327-4662
notes
Bibliogr.: 62 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100338350
https://www.scopus.com/pages/publications/105022474644?origin=resultslist
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20INTERNET%20THINGS&year=2024
https://www.webofscience.com/wos/woscc/full-record/WOS:001681790200046
category (general)
Computer science
Arvutiteadus
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Computer science. Hardware and architecture
Arvutiteadus. Riistvara ja arhitektuur
Computer science. Computer networks and communications
Arvutiteadus. Arvutivõrgud ja side
Computer science. Signal processing
Arvutiteadus. Signaalitöötlus
Computer science. Computer science applications
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Computer science. Information systems
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TalTech department
tarkvarateaduse instituut
language
inglise