Personalized Privacy Protection For The Third Party Platform

With the fast development of network and information technology,the third-party platform is more and more popular. These platform gathered a large number of users and data.Once these private data were leaked, the impact and damage would be more serious than the real world. Therefore, how to protect the privacy of third-party platform has become a pressing problem.Access control is one of the important methods to protect privacy in third-party platform. It meets the needs of third-party service platform for fine-grained access control by description and implementation of the policy. However, the method can not effectively support personalized definition and implementation of privacy. In response to these problems, we present a privacy protection model for the third-party service platform and solution of applying personalized access control. The main contributions are as follows:To meet the individual privacy protection needs,a privacy protection model for the third-party service platform is proposed.It allow users defining privacy policy by their own privacy preferences,setting constraints of their own data and managering their resources and personal information in real time, we present solution of applying personalized access control.we combine user-defined privacy policy with users’ data and system’s state and limit access to private data,to implement effective context-aware access control.We design a middleware to support the proposed privacy protection model and apply it to the Shandong manufacturing information platform. Experiments show that the proposed model and enforcement mechanism can effectively protect user privacy and satisfy their personalized privacy requirements.