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http://dx.doi.org/10.20465/KIOTS.2021.7.1.009

Internet of Things (IoT) Based Modeling for Dynamic Security in Nuclear Systems with Data Mining Strategy  

Jang, Kyung Bae (Dept. of Mechanical and Control Engineering, The Cyber University of Korea)
Baek, Chang Hyun (Dept. of Mechanical and Control Engineering, The Cyber University of Korea)
Kim, Jong Min (School of Electrical Engineering, Korea University)
Baek, Hyung Ho (Dept. of Biomedical Engineering, Jungwon University)
Woo, Tae Ho (Dept. of Mechanical and Control Engineering, The Cyber University of Korea)
Publication Information
Journal of Internet of Things and Convergence / v.7, no.1, 2021 , pp. 9-19 More about this Journal
Abstract
The data mining design incorporated with big data based cloud computing system is investigated for the nuclear terrorism prevention where the conventional physical protection system (PPS) is modified. The networking of terror related bodies is modeled by simulation study for nuclear forensic incidents. It is needed for the government to detect the terrorism and any attempts to attack to innocent people without illegal tapping. Although the mathematical algorithm of the study can't give the exact result of the terror incident, the potential possibility could be obtained by the simulations. The result shows the shape oscillation by time. In addition, the integration of the frequency of each value can show the degree of the transitions of the results. The value increases to -2.61741 in 63.125th hour. So, the terror possibility is highest in later time.
Keywords
Internet of Things (IoT); Nuclear power plants; Big data; Cloud computing; Data mining; System dynamics;
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