Insider Threat Event Detection in User-System Interactions

Detection of insider threats relies on monitoring individuals and their interactions with organizational resources. Identification of anomalous insiders typically relies on supervised learning models that use labeled data. However, such labeled data is not easily obtainable. The labeled data that do...

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Detalles Bibliográficos
Autor Principal: Moriano Salazar, Pablo Andrés; Pendleton, Jared; Rich, Steven; Camp, L. Jean
Formato: Artículo (Article)
Lenguaje:Desconocido (Unknown)
Publicado: Proceedings of the 2017 International Workshop on Managing Insider Security Threats 2017
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