Research on Personal Information Risk Assessment Model in Smart Cities

Autor:	Hyun-Hyo Lee, Yan Xuebo, Rongguo Qiu, Yuemin Fan
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Knowledge management smart cities Computer science business.industry consequence attribute weight General Engineering risk assessment model lcsh:TA1-2040 threat index lcsh:Engineering (General). Civil engineering (General) business Risk assessment Personally identifiable information
Zdroj:	Tehnički vjesnik Volume 27 Issue 5 Tehnički Vjesnik, Vol 27, Iss 5, Pp 1403-1409 (2020)
ISSN:	1848-6339 1330-3651
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::298b44274e709a1756544e30d10a0e48 https://hrcak.srce.hr/244701 Zobrazit plný text záznamu