Analytic Hierarchy Process (AHP) Based Modeling for the Nuclear Cyber Security Incorporated with Fuzzy set Algorithm
Tae Ho Woo
Tae Ho Woo, Department of Mechanical and Control Engineering, The Cyber University of Korea, 106 Bukchon-ro, Jongno-gu, Seoul 03051, Republic of Korea
Manuscript received on 20 April 2019 | Revised Manuscript received on 24 May 2019 | Manuscript published on 30 May 2019 | PP: 1327-1331 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3195058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The method of the nuclear cyber terrorism prevention is analyzed in which the cyber security is investigated in the aspect of the nuclear matters. In the method, the radiological detection sites are considered as the cyber terror incident points. Using the Analytic Hierarchy Process (AHP) method, the complex algorithm of the terrorism could be manipulated incorporated with the fuzzy set method in which the verbal uncertainty could be expressed by the matrix algorithm. In addition, by the dynamical analysis, the terror incident time could be estimated. In the work, during the period of 60 years, it is considered the reactor runs securely as the values between 0.0215112 in 7th year and 0.0202358 in 22nd year. This means that the securest one is 1.063 times higher comparing to the lowest one. Furthermore, the five sites are variable by the dynamical manner where the #1 sites are more than those of #5. Results show the estimations of nuclear cyber terrorism successfully. This method could be applicable to the industrial plants and facilities.
Index Terms: Analytic Hierarchy Process (AHP), Cyber, Nuclear; Security, Terrorism.

Scope of the Article: Data Analytics Modelling and Algorithms