Rubayyi Alghamdi and Martine Bellaïche
Article (2022)
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| Department: | Department of Computer Engineering and Software Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/51876/ |
| Journal Title: | Computers & Security (vol. 125) |
| Publisher: | Elsevier |
| DOI: | 10.1016/j.cose.2022.103014 |
| Official URL: | https://doi.org/10.1016/j.cose.2022.103014 |
| Date Deposited: | 18 Apr 2023 14:58 |
| Last Modified: | 25 Sep 2024 16:42 |
| Cite in APA 7: | Alghamdi, R., & Bellaïche, M. (2022). A Cascaded Federated Deep Learning Based Framework For Detecting Wormhole Attacks in IoT Networks. Computers & Security, 125, 17 pages. https://doi.org/10.1016/j.cose.2022.103014 |
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