Saeid Jamshidi, Kawser Wazed Nafi, Amin Nikanjam and Foutse Khomh
Article (2025)
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| Department: | Department of Computer Engineering and Software Engineering |
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| 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 |
| Date Deposited: | 25 Apr 2025 13:24 |
| Last Modified: | 25 Apr 2025 13:24 |
| 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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