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基于網(wǎng)格標識匹配的位置隱私保護方法

張少波,  劉琴,  王國軍

張少波, 劉琴, 王國軍. 基于網(wǎng)格標識匹配的位置隱私保護方法[J]. 電子與信息學報, 2016, 38(9): 2173-2179. doi: 10.11999/JEIT160350
引用本文: 張少波, 劉琴, 王國軍. 基于網(wǎng)格標識匹配的位置隱私保護方法[J]. 電子與信息學報, 2016, 38(9): 2173-2179. doi: 10.11999/JEIT160350
ZHANG Shaobo, LIU Qin, WANG Guojun. The Method of Location Privacy Protection Based on Grid Identifier Matching[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2173-2179. doi: 10.11999/JEIT160350
Citation: ZHANG Shaobo, LIU Qin, WANG Guojun. The Method of Location Privacy Protection Based on Grid Identifier Matching[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2173-2179. doi: 10.11999/JEIT160350

基于網(wǎng)格標識匹配的位置隱私保護方法

doi: 10.11999/JEIT160350 cstr: 32379.14.JEIT160350
基金項目: 

國家自然科學基金(61472451, 61272151, 61402161)，中南大學中央高?；究蒲袠I(yè)務(wù)費專項資金(2016zzts058)

The Method of Location Privacy Protection Based on Grid Identifier Matching

Funds: 

The National Natural Science Foundation of China (61472451, 61272151, 61402161), The Fundamental Research Funds for the Central Universities of Central South University (2016zzts058)

  • 摘要: 在基于位置的服務(wù)中，基于可信第三方模型是當前位置隱私保護中的主要模型，但該模型存在一定的隱私泄露風險。該文提出一種基于網(wǎng)格標識匹配(GIM)的位置隱私保護方法，用戶首先將查詢區(qū)域劃分為網(wǎng)格，并結(jié)合保序?qū)ΨQ加密和K匿名技術(shù)，在匿名器形成K匿名，然后利用網(wǎng)格標識匹配返回查詢結(jié)果給用戶。在查詢的過程中，匿名器并不知道用戶的具體位置，加強了該模型中用戶位置的隱私保護。同時中間匿名器僅進行簡單的比較和匹配，有效緩解了匿名器的性能瓶頸問題。安全分析表明該方法能有效保護用戶的位置隱私；并且通過實驗驗證該方法能有效減小匿名器的處理時間開銷。
    Abstract: The model based on fully-trusted third party is a major model for location privacy protection in location-based services, but the model has some risk of exposing privacy. In this paper, a location privacy protection method based on Grid Identifier Matching (GIM) is proposed. In this method the user first divides the query area into grid and combines the order-preserving symmetric encryption and K-anonymity mechanism. Then, the K-anonymity paradigm is formed in anonymizer. Finally, the query results are returned to users by utilizing GIM. In the query process, the anonymizer dose not have any knowlegdge about a users real location, which can enhance the users location privacy. Meanwhile, the anonymizer only does simple comparison and matching operations, which relieves effectively is performance bottleneck of the anonymizer. Security analysis shows that the proposed approach can effectively protect the users location privacy. Experimental evaluations show that the proposed approach can decrease processing time overhead of the anonymizer.
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出版歷程
  • 收稿日期:  2016-04-12
  • 修回日期:  2016-07-18
  • 刊出日期:  2016-09-19

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