Efficient multi-dimensional dynamic aggregation scheme for location security

Abstract

The statistics on demand of customer is very important for business, such as collecting location information of customers to provide them with various services. In this paper, we present a new method for customers to authenticate their identity and position without revealing them and statistics the distribution of passenger flow in different periods, where the purpose of privacy-preserving could be achieved. Due to the identify of customers changes rapidly, in order to ensure that the identify of customers can be updated in time, this paper use dynamic group signature method to add and delete identify frequently. In the meantime, customers need to be divided into different types to meet the needs of different business. Therefore, we will use customers' age and occupation as their identify marks. In order to understand the needs of customers of different ID, age and occupations that we statistics the identity to help business find the suitable development areas.