Recently the importance of nuclear security is increased after Fukushima Daiichi Power Plant accident. Especially as the threat to nuclear power plants, sabotage by insider is significant. In this research, the technology to detect malicious behaviors by insiders was developed by video camera movie. Time series data analysis is a useful method in abnormal behavior detection. However, abnormal behavior detection isn’t enough for nuclear security, future malicious behavior prediction should be considered...
英字タイトル:
Sign Detection of Future Malicious Behavior for Nuclear Security

Under the influence of the F1 accident, there is a growing threat to nuclear security. Among the nuclear security threat, current sensing technique is not effective to sabotage by an insider. In this research, for the purpose of detection of dangerous behavior, dealing with the time-series data. The analysis of the data using PCA(Principal Component Analysis) and SBM(Similarity Based Modeling), was determined for several types of motion....
英字タイトル:
Development of malicious behavior detection method by using time-series data

Sabotage by malicious insider is one of significant and serious threats for nuclear security of nuclear power plants. It is difficult, however, to distinguish abnormal behaviors from normal works such as their daily maintenance activities. In this study, a technique was proposed to subdivide the abnormal behavior due to sabotage by image analysis and then to detect and identify the abnormal behavior in real time. ...
英字タイトル:
Proposal of Insider Detection Method for Nuclear Security