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Classifying Insider Threat Scenarios Through Explainable Articial Intelligence

Rémi Jacques Édouard Grzeczkowicz, Christopher Neal, Neda Baghalizadeh Moghadam, Nora Boulahia Cuppens and Frédéric Cuppens

Paper (2024)

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Department: Department of Computer Engineering and Software Engineering
PolyPublie URL: https://publications.polymtl.ca/64699/
Conference Title: Risks and Security of Internet and Systems (CRiSIS 2024)
Conference Location: Aix-en-Provence, France
Conference Date(s): 2024-11-26 - 2024-11-28
Journal Title: Lecture notes in computer science
Publisher: Springer Science+Business Media
DOI: 10.1007/978-3-031-89350-6_10
Official URL: https://doi.org/10.1007/978-3-031-89350-6_10
Date Deposited: 28 Apr 2025 09:39
Last Modified: 28 Apr 2025 09:39
Cite in APA 7: Grzeczkowicz, R. J. É., Neal, C., Baghalizadeh Moghadam, N., Boulahia Cuppens, N., & Cuppens, F. (2024, November). Classifying Insider Threat Scenarios Through Explainable Articial Intelligence [Paper]. Risks and Security of Internet and Systems (CRiSIS 2024), Aix-en-Provence, France. Published in Lecture notes in computer science. https://doi.org/10.1007/978-3-031-89350-6_10

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