User Track Hidden Method in Heterogeneous Network Optimization Research

In the heterogeneous network users in the path of the hidden, most of the current methods for users to a single location to track hidden, not suitable for complex heterogeneous social networks.For this, put forward a new heterogeneous social networks based on false trajectory track hidden by the user, through an example analysis of the basic concept of the proposed method.Are summarized, the methods of false track in a central server system structure on the implementation.Given a single location exposure risk, trajectory exposure risk, the concept and calculation formula of distance deviation degree.In order to avoid the attacker tell users real trajectories of probability, proposed rules to optimize memory.Sending query parameters such as news, true location server to privacy protection, privacy protection server on the parameters of user requirements and the rule satisfy the condition of the false memory location, anonymous boxes containing a false position to service providers, privacy protection server to return after the refinement of the query results of transmission to the user.The experimental results show that the proposed method the trajectory data has a high availability.