Rui Zhang《Authenticating Outsourced Location-based Skyline Queries under Shortest Path Distance》

 报告人

Rui Zhang

举办单位

科研处、学科办、计算机学院

报告题目

Authenticating Outsourced Location-based Skyline Queries under Shortest Path Distance

报告时间

2023年11月2916:00-18:00

报告地点

逸夫楼F308学术报告厅

报告人

所属单位

the University of Delaware

报告人职务/职称

the Associate Director for Research of the Center for Cybersecurity, Assurance and Privacy (CCAP)

报告内容

简介

The rapid advance in cloud computing has made it increasingly popular for Location-based Service Providers (LBSPs) like Yelp to outsource their Points of Interest (POI) datasets to third-party Cloud Service Providers (CSPs), which in turn answer various data queries from mobile users on their behalf. A key security concern in such a system is that the CSPs cannot be fully trusted and may return forged and/or incorrect query results in favor of the POIs willing to pay. As an important type of query, location-based skyline queries (LBSQ) ask for the POIs that are not dominated by any other POI with respect to a certain query location. Despite several prior solutions for authenticating outsourced LBSQs, they can only support LBSQ under the Euclidean distance. How to authenticate outsourced LBSQs under the shortest path distance, which can better measure users' true travel distances in metropolitan areas, remains an open challenge. In this talk, I will first introduce a method for authenticating outsourced LBSQs over a single straight road segment under the Euclidean distance metric. I will then discuss how we can extend this method to authenticate LBSQs over general road networks under the shortest path distance.



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作者:发布时间:2023-11-28

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