Privacy Protection And Mechanism Design In E-commerce

The methods which focus on privacy protection are either based on qualitative resea which is about utility of privacy protection or based on information technology of priv protection. Meanwhile, various algorithms of privacy protection only consider security ft the aspect of theory, but not from the level of organization. In addition, traditic organization analyzes the decision of privacy protection based on the assumption that al the participations are honest. However, in the reality, there barely exist totally honest peo Therefore, many studies which only assume that people are honest cannot effectiv connect with privacy protection.Therefore, the goal of this research is to combine the user personalized service, priv policy with organization mechanism of information, and then to put forward the priv protection of cross-platform personalized service in e-commerce and secure informal sharing mechanism, so that to meet the needs of the cross-platform recommendation serv First we use the theory of information boundary and theory of information sensitivity analyze the boundary of the privacy of network information and the definition of privac; different subject areas. And then we classify the information privacy from 0 to 1 accordin the sensitivity of users.Second we use the game theory, model of pricing and utility to bi up a static game model between two firms. And we figure out whether introducing privacy protection or not and whether offering personalized service or not would affect utility of the firms.Third we use economics theory to build up a dynamic game me between two firms considering benefit of user and utility of enterprise. This model calcu the benefit of users and balance the profit between firms. We figure out whether enterin not and whether offering personalized service or not would affect the utility of firns.Fourth we designed a privacy protection mechanism, prevent collusion betw participants and profit. This mechanism would decrease the benefit of collaborators, wr forces them to be honest. In other words, only the honest people can get a bigger profit.The most sensitive information for customers is ID according to the survey, and sensitiveness is 0.77. In the free competition market, if firms implement asymmetr privacy protection, it can reduce the price competition between two firms. In a monoj market, if the incumbent implements privacy protection while the entrant enters the mat the two companies’ profits can be balanced. At the same time, consumers also can maxin utility. In the design of the mechanism of information sharing between two firms, Disho enterprises will get fewer than honest after introducing punishment.