Evaluating machine learning-driven intrusion detection systems in IoT: Performance and energy consumption

Saeid Jamshidi, Kawser Wazed Nafi, Amin Nikanjam, Foutse Khomh

Article (2025)

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Department:
Department of Computer Engineering and Software Engineering
PolyPublie URL:
https://publications.polymtl.ca/64693/
Journal Title :
Computers & Industrial Engineering ( vol. 204 )
Publisher:
Elsevier
DOI:
10.1016/j.cie.2025.111103
Official URL:
https://doi.org/10.1016/j.cie.2025.111103
OAI:
oai:publications.polymtl.ca:64693
ORCID
Date Deposited:
25 Apr 2025 13:24
Last Modified:
14 Oct 2026 14:26
Cite in APA 7:
Jamshidi, S., Wazed Nafi, K., Nikanjam, A., & Khomh, F. (2025). Evaluating machine learning-driven intrusion detection systems in IoT: Performance and energy consumption. Computers & Industrial Engineering, 204, 111103 (17 pages). https://doi.org/10.1016/j.cie.2025.111103

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