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Achieving Privacy-Preserving Location-Based Query over Outsourced Encrypted Data

创建时间:  2016/06/20  谢姚   浏览次数:   返回

活动地点: 延长校区乐乎楼第一会议室
活动时间: 2016年6月24日 下午16:00-17:00
报告题目:Achieving Privacy-Preserving Location-Based Query over Outsourced Encrypted Data

报告人:Assistant Prof. Rongxing Lu, the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore
内容提要:
With the pervasiveness of smart phones, location based services (LBS) have received considerable attention and become more popular and vital recently. However, the use of LBS also poses a potential threat to user’s location privacy. In this talk, aiming at spatial range query -- a popular LBS providing information about POIs (Points Of Interest) within a given distance, we discuss an efficient and privacy-preserving location based query scheme. Specifically, to achieve privacy preserving spatial range query, we propose the first predicate only encryption scheme for inner product range, which can be used to detect whether a position is within a given circular area in a privacy-preserving way. To reduce query latency, we further design a privacy-preserving tree index structure in our scheme. Detailed security analysis confirms the security properties of our proposal. In addition, extensive experiments are conducted, and the results demonstrate that our proposal is efficient in privacy preserving spatial range query over outsourced encrypted data.

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