Efficient multi-dimensional dynamic aggregation scheme for location security

Bolun Li; Yajing Liu

doi:10.1117/12.2682271

26 May 2023 Efficient multi-dimensional dynamic aggregation scheme for location security

Bolun Li, Yajing Liu

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 1270009 (2023) https://doi.org/10.1117/12.2682271
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

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.

Citation Download Citation

Bolun Li and Yajing Liu "Efficient multi-dimensional dynamic aggregation scheme for location security", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 1270009 (26 May 2023); https://doi.org/10.1117/12.2682271

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available