Improving IoT security with explainable AI : quantitative evaluation of explainability for IoT botnet detection
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
vol. 11, 10
year of publication
2024
pages
p. 18237 - 18254
url
https://doi.org/10.1109/JIOT.2024.3360626
subject term
tehisintellekt
asjade internet
pahavara
keyword
botnet
complexity
consistency
explainable artificial intelligence (XAI)
faithfulness
feature importance
internet of things (IoT)
local interpretable model-agnostic explanations (LIME)
posthoc XAI
robustness
shapley additive explanation (SHAP)
ISSN
2327-4662
notes
Bibliogr.: 72 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100338350
https://www.scopus.com/record/display.uri?eid=2-s2.0-85184321371&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1109%2FJIOT.2024.3360626%29&sessionSearchId=f890857a41c36254c0f644edbb3c2ac3&relpos=0
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20INTERNET%20THINGS&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:001221337300001
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Computer science
Arvutiteadus
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Computer science. Computer networks and communications
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Computer science. Computer science applications
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Computer science. Hardware and architecture
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Computer science. Signal processing
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tarkvarateaduse instituut
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inglise