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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...
Autores principales: | Kim, Jung Hwan, Kim, Chul Min, Yim, Man-Sung |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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 |
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