Neda Baghalizadeh Moghadam, Christopher Neal, Sara Imene Boucetta, Frédéric Cuppens
and Nora Boulahia Cuppens
Paper (2025)
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| Department: | Department of Computer Engineering and Software Engineering |
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| Funders: | MITACS, Banque Nationale, Desjardins, Mondata, Qohash |
| ISBN: | 9798331503437 |
| PolyPublie URL: | https://publications.polymtl.ca/70557/ |
| Conference Title: | 22nd Annual International Conference on Privacy, Security, and Trust (PST 2025) |
| Conference Location: | Fredericton, NB, Canada |
| Conference Date(s): | 2025-08-26 - 2025-08-28 |
| Publisher: | Institute of Electrical and Electronics Engineers |
| DOI: | 10.1109/pst65910.2025.11268873 |
| Official URL: | https://doi.org/10.1109/pst65910.2025.11268873 |
| Date Deposited: | 15 Dec 2025 13:17 |
| Last Modified: | 15 Dec 2025 13:17 |
| Cite in APA 7: | Baghalizadeh Moghadam, N., Neal, C., Boucetta, S. I., Cuppens, F., & Boulahia Cuppens, N. (2025, August). Semantic and Graph-Based Unsupervised Learning for Insider Threat Detection Using User Activity Sequences [Paper]. 22nd Annual International Conference on Privacy, Security, and Trust (PST 2025), Fredericton, NB, Canada (7 pages). https://doi.org/10.1109/pst65910.2025.11268873 |
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