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Biosignal-Based Classification of Implicit Intention to Prevent Insider Threats
Chul Min Kim(김철민 ),Jung Hwan Kim(김정환),Man-Sung Yim(임만성) 대한인간공학회 2019 대한인간공학회 학술대회논문집 Vol.2019 No.10
Objective: The aim of this study is to investigate the feasibility of using Electroencephalogram (EEG) to predict and thereby minimize the risk of potential insider threat at nuclear power plants (NPPs). Background: In nuclear facilities, insider threats are perhaps the most serious challenges that security systems face. Trustworthiness assessment and security culture is key components to reduce insider threat. However, trustworthy assessment and security culture is subjective, which needs an objective methodology to make up for. Method: The subjects read the insider threat scenarios and selected whether they would be an insider or not. Scenarios include various theft and sabotage scenarios, and roles in NPPs. EEG signal is measured during the reading and deciding process. Data were obtained from 25 subjects (6 women), aged 19 to 31 years. Preprocessing includes down-sampling, automatic noise removal, and artifact rejection using ICA. Random forest was used to select features, and KNN was used to categorize yes/no answers. Results: Classification accuracy was 70~73% depending on the variation of preprocessing, feature selection and parameter tuning methodologies. Conclusion: This research investigated the use of EEG signal to identify potential insider threat at nuclear facilities. Application: This methodology is shown to be useful in that they provide opportunities to identify potential insider threat.
A Worker’s Status Monitoring System Based on Bio-signals to Prevent a Potential Insider Threat
Jung Hwan Kim(김정환),Chul Min Kim(김철민),Man-Sung Yim(임만성) 대한인간공학회 2019 대한인간공학회 학술대회논문집 Vol.2019 No.5
Objective: The aim of this study is to investigate the feasibility of using electroencephalogram (EEG) and electrocardiogram (ECG) to predict and thereby minimize the risk of potential insider threat at nuclear power plants (NPPs). Background: Insider is any individual with access to, knowledge of, and authority over nuclear facilities and transportation of materials who might attempt unauthorized removal or sabotages, or who could aid outsiders to do so. In nuclear facilities, insider threats are perhaps the most serious challenges that security systems face. Method: This study describes scenarios that are likely to be an insider. The subjects are presented with various levels of nuclear power plant workers, and factors motivate to become insiders suggested. This study records EEG and ECG signals during insider threat scenarios. Data were obtained for 15 subjects, aged 19 to 31 years (mean 25.6 years, SD 2.87). Results: Theta/Alpha and Beta/Alpha ratio of frontal area changed significantly for the insider threat related scenarios. Conclusion: This research investigated the use of EEG and ECG signals to identify potential insider threat at nuclear facilities. Application: These indicators are useful in that they provide opportunities to identify potential insider threat.