关键词: 移动APP用户, 隐私信息, 信息泄露, 风险评价, 网络分析法, 熵权法, 模糊综合评价法

Abstract: [Purpose/significance] Aiming at the increasingly serious privacy information leakage of mobile APP users, this paper analyzes and evaluates the disclosure risks of privacy information and provides suggestions for risk response, which helps to protect the privacy of mobile APP users and promote the healthy development of information platform.[Method/process] This paper analyzes the risk of privacy information disclosure of mobile APP users and constructs the index system of risk assessment of users' privacy information disclosure. It uses the analytic network process (ANP) and entropy method to synthetically determine the index weight of portfolio. Finally this paper applies the fuzzy comprehensive evaluation method to make an empirical analysis of mobile social networking APPs.[Result/conclusion] The mobile APP user privacy information disclosure evaluation index system has certain scientificalness and practicality. Among the index system, the APP platform reason has the highest risk of privacy disclosure and the users reason secondly. On the whole, Paipai has the highest users' risk of privacy leaks and WeChat has the lowest risk, but all are close to medium risk. In order to reduce the risk of privacy information disclosure of mobile social APP users, mobile users, APPs and regulatory authorities should focus on the different situations of different APPs and take measures with emphasis.

Key words: mobile APP users, privacy information, information disclosure, risk assessment, analytic network process, entropy method, fuzzy comprehensive evaluation method