Research on Personal Information Risk Assessment Model in Smart Cities

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 decisionmaking 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.

Research on the Influencing Mechanism via Which Security Perception of Personal Information Affects Tourist Happiness: A Moderated Mediation Model

“…During the use of tourism-related applications and payments, tourists use personal information to log into an APP or enter a password; they may have concerns about whether their personal information could be inappropriately disclosed. Therefore, it is necessary to assess the level and degree of personal information security risk [13], as well as to encrypt personal information with information technology (such as four-qubit entangled state) [14], and to protect the security of personal information with effective laws [7]. Even so, personal data leakage occasionally occurs on online tourism platforms, and tourists' concerns about security perception of personal information (SPPI) affect their willingness to use smart tourism applications [15].…”