篇名 | LBS Privacy Preserving Model and Security Analysis Based on Expanded Anonymous Server |
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卷期 | 28:5 |
作者 | Peng-shou Xie 、 Tian-xia Fu 、 Jia Guo 、 Qi Wang |
頁次 | 155-161 |
關鍵字 | anonymous communication 、 data encryption 、 location based service 、 privacy preserving 、 EI 、 MEDLINE 、 Scopus |
出刊日期 | 201710 |
DOI | 10.3966/199115992017102805014 |
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.