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Analysis of cyber nuclear terrorism by DTrack consequences in the civilian nuclear power plant
Journal of Nuclear Science and Technology ( IF 1.5 ) Pub Date : 2021-08-26 , DOI: 10.1080/00223131.2021.1961634
Kyung Bae Jang 1 , Chang Hyun Baek 1 , Tae Ho Woo 1
Affiliation  

ABSTRACT

It is investigated for the nuclear security following the cyber terrorism of the Kudankulam nuclear power plant (KNPP) in Tamil Nadu, India. The relationship between arbitrary data and the invasion scenario is analyzed by the designed algorithms. In the study, the system dynamics (SD) can be used for the non-linear matters in the terrorism. There are two kinds of results in this modeling. The data are classified as the standard deviation as Data1 with ‘one-sigma’ (Current) and Data1 with ‘three-sigma’ (Current1). The peak value is in the 67th year which is compared with the value in the 62nd year where the normalized value is obtained. So, the higher standard deviation value makes the later peak data of the 67th year. The other kinds of logics such as the loop formula could give the other results with the designed meanings. The expert intend could show the importance of the modeling in the work.



中文翻译:

通过 DTrack 分析民用核电站中的网络核恐怖主义后果

摘要

在印度泰米尔纳德邦的 Kudankulam 核电站 (KNPP) 发生网络恐怖主义之后,对核安全进行了调查。通过设计的算法分析了任意数据与入侵场景之间的关系。在研究中,系统动力学(SD)可用于恐怖主义中的非线性问题。这种建模有两种结果。数据被归类为标准偏差,作为具有“one-sigma”(Current)的 Data1 和具有“three-sigma”(Current1)的 Data1。峰值出现在第 67 年,与获得归一化值的第 62 年的值进行比较。因此,较高的标准差值使得第 67 年的峰值数据较晚。循环公式等其他类型的逻辑可以给出具有设计意义的其他结果。

更新日期:2021-08-26
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