题名

LBS Privacy Preserving Model and Security Analysis Based on Expanded Anonymous Server

DOI

10.3966/199115992017102805014

作者

Peng-shou Xie;Tian-xia Fu;Jia Guo;Qi Wang

关键词

anonymous communication ; data encryption ; location based service ; privacy preserving

期刊名称

電腦學刊

卷期/出版年月

28卷5期(2017 / 10 / 01)

页次

155 - 161

内容语文

英文

中文摘要

Considering the existence of privacy security threats in LBS, we designed a Expanded Anonymous Server based on traditional LBS system structure to protect privacy information. It use the fully homomorphic encryption method to ensure the safety of Anonymous Server; At the same time, the onion algorithm and asymmetric encryption methods are used to design an improved LBS privacy preserving model based on expanded anonymous server. The model ensures the user’s information is guaranteed to be not tampered or leaked. Using attack algorithm to detect the LBS preserving model and traditional LBS model, the security analysis shows that LBS preserving model can protect the user’s anonymous identity, location information and service content effectively in LBS.

主题分类 基礎與應用科學 > 資訊科學