Technical gazette, Vol. 27 No. 5, 2020.
Original scientific paper
https://doi.org/10.17559/TV-20190104101416
Research on Personal Information Risk Assessment Model in Smart Cities
Xuebo Yan*
; School of Management, Fujian University of Technology, No. 3 Xueyuan Road, University Town, Minhou, Fuzhou 510320, Fujian, P. R. China
Yuemin Fan*
; College of Entrepreneurship Education, Guangdong University of Finance and Economics, 21 Luntou Road, Guangzhou 510320, Guangdong, P. R. China
Hyun-Hyo Lee
; Dept. of Computer Engineering and Software, Wonkwang University, 460 Iksandae-ro, Iksan, Jeonbuk, Republic of Korea
Rongguo Qiu
; School of Public Administration, Yancheng Teachers University, No. 2 South Hope Avenue, Yancheng 224007, Jiangsu P. R. China
Abstract
Personal information security plays fundamental and critical role in promotion of smart cities. By taking personal information, vulnerability and threat as basic elements for risk assessment, this article proposes a Markov method-based personal information security risk assessment model in smart cities with the core of threats (Li Hetian, 2007). Based on threat probability, threat consequence attribute and attribute value acquired through the Markov method, threat analysis, the multi-attribute decision-making theory and the expert grading method, this article calculates the objective threat indexes, which is then utilized for risk ranking, so as to provide scientific basis for formulating targeted personal information security risk management and control strategies.
Keywords
consequence attribute weight; risk assessment model; smart cities; threat index
Hrčak ID:
244701
URI
Publication date:
17.10.2020.
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