Chinese Journal of Network and Information Security ›› 2022, Vol. 8 ›› Issue (6): 169-177.doi: 10.11959/j.issn.2096-109x.2022072

• Papers and Reports • Previous Articles    

Online medical privacy protection strategy under information value-added mechanism

Shengzhi MING, Jianming ZHU, Zhiyuan SUI, Xian ZHANG   

  1. School of Information, Central University of Finance and Economics, Beijing 100081, China
  • Revised:2022-07-21 Online:2022-12-15 Published:2023-01-16
  • Supported by:
    The National Key R&D Program of China(2017YFB1400700)

Abstract:

China’s economic level and people’s living standards have developed rapidly in recent years, and the medical level and medical technology have made breakthroughs continuously.With the promotion and deepening of“Internet Plus” to business model innovation in various fields, the development of “Internet Plus” medical has been rapidly developed.Due to the continuous development of data processing technologies such as machine learning and data mining, the risk of users’ personal medical data disclosure in the process of online medical treatment has also attracted the attention of researchers.Considering the deductibility of information, the discount mechanism was adopted to describe the change of user’s private information value in different stages of the game.Combined with the current research status in the field of online medical privacy protection motivation, how to mobilize the enthusiasm of both players from the level of privacy protection motivation was explored with game analysis.In view of the game characteristics of users’ strong willingness to continually use the online medical platform and intermittently provide privacy, the repeated game method was adopted to better describe the game process between users and the online medical platform.The tendency change law of the players on both sides of the game was obtained.Moreover, the Nash equilibrium of the game model was analyzed under different model parameters and the change trend of the game strategy of both sides with the progress of the game stage.When the parameters were met 2(cp-cn)≥lp(pn-pp), the user started to choose from “agree to share private data” to “refuse to share private data”.The above conclusion was verified by simulation experiments.Based on the above conclusions, from the perspective of online medical platform and users, policy suggestions on how to realize privacy protection from the level of privacy protection motivation in the process of online medical treatment were given.

Key words: online medical, privacy protection, repeated game, information value-added, Nash equilibrium

CLC Number: 

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