Development of Human Bio-signals Monitoring Technology to Enhance Nuclear Security

This study discusses the possibility of predicting and detecting various threats from humans in nuclear industries, by using human psychophysiological signals. Previous studies reported the possibility of detecting insider threat by using EEG signals with frequency domain analysis. This new study is an attempt to address the limitations of the previous studies by: 1) improving the accuracy and reliability of data, through verification by using the commercial clinical EEG device; and 2) optimizing the analytic tool for the use of bio-signals to enhance the accuracy in the analysis. We used the Brain Master device to support the study and various signal analytic tools to select the optimum way to detect and predict a threat from humans. Along with investigating the analytic methods, precursors of a potential insider threat to nuclear safety and nuclear security were identified for predicting the threat. These findings may be applicable to any organization/agencies where an insider threat is a concern. This technology may be also extended for monitoring for human error reduction (i.e., Intended violation error type) and used to enhance the current capability of lie detection.