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Developing machine learning-based intrusion detection systems for IoT environments

author
Deng, Zhe
statement of authorship
Zhe Deng
source
BIR-WS 2025: BIR 2025 Workshops and Doctoral Consortium, 24rd International Conference on Perspectives in Business InformaticsResearch (BIR 2025), September 17-19, 2025, Riga, Latvia : proceedings
year of publication
2025
pages
10 p
conference name, date
BIR-WS 2025: BIR 2025 Workshops and Doctoral Consortium, 24rd International Conference on Perspectives in Business InformaticsResearch (BIR 2025), September 17-19, 2025
conference location
Riga, Latvia
url
https://ceur-ws.org/Vol-4034/paper68.pdf
subject term
tehisõpe
tehisintellekt
asjade internet
pahavara
keyword
machine learning (ML)
intrusion detection system (IDS)
Internet of Things (IoT)
generative AI
mobile malware
ISSN
1613-0073
notes
Bibliogr.: 33 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise
Deng, Z. Developing machine learning-based intrusion detection systems for IoT environments // BIR-WS 2025: BIR 2025 Workshops and Doctoral Consortium, 24rd International Conference on Perspectives in Business InformaticsResearch (BIR 2025), September 17-19, 2025, Riga, Latvia : proceedings., 2025. 10 p. https://ceur-ws.org/Vol-4034/paper68.pdf