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

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2021, 7(1), pp.9-19
  • DOI : 10.20465/KIOTS.2021.7.1.009
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : November 28, 2020
  • Accepted : January 18, 2021
  • Published : March 31, 2021

JANG, KYUNGBAE 1 ChanghyunBaek 1 KIMJONGMIN 2 Hyung Ho Baek 3 TAE HO WOO 1

1고려사이버대학교
2고려대학교
3중원대학교

Accredited

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.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.