An Investigation of Insider Threat Mitigation Based on EEG Signal Classification

This study proposes a scheme to identify insider threats in nuclear facilities through the detection of malicious intentions of potential insiders using subject-wise classification. Based on electroencephalography (EEG) signals, a classification model was developed to identify whether a subject has...

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Detalles Bibliográficos
Autores principales: Kim, Jung Hwan, Kim, Chul Min, Yim, Man-Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664688/
https://www.ncbi.nlm.nih.gov/pubmed/33171609
http://dx.doi.org/10.3390/s20216365

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664688/
https://www.ncbi.nlm.nih.gov/pubmed/33171609
http://dx.doi.org/10.3390/s20216365

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