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千亿体育:美国特内华大学 Rui Zhang教授学术报告

来源: 点击: 时间:2023年11月22日 14:41


 报告人:美国特内华大学 Rui Zhang教授

报告地点:管理楼304会议室

报告时间:20231127日(周一)上午10

报告题目:Authenticating Outsourced Location-based Skyline Queries under Shortest Path Distance

Abstract: 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.

Bio: Rui Zhang is the Daniel L. Chester Mid-Career Professor of Computer and Information Sciences and the Associate Director for Research of the Center for Cybersecurity, Assurance and Privacy (CCAP) at the University of Delaware (UD). He received his Ph.D. in Electrical Engineering from Arizona State University in 2013 and holds both a Master's and Bachelor's degree in Communication and Information Systems and Communication Engineering from Huazhong University of Science and Technology. Prior to joining the UD, he was an Assistant Professor in the Department of Electrical Engineering at the University of Hawaii from 2013 to 2016. His research focuses on addressing security and privacy challenges in wireless networks, mobile computing, cloud and edge computing, social networks, and machine learning. He is an Associate Editor of IEEE Transactions on Mobile Computing and serves on the Editorial Board of Wireless Networks. His involvement in the research community extends to organizing and technical program committees of various conferences, such as IEEE INFOCOM, IEEE CNS, and ACM ASIACCS. Notably, he serves as the Poster and Demo Co-Chair of IEEE INFOCOM 2023/2024 and is slated to be a TPC Co-Chair for IEEE CNS 2024. He received the NSF CAREER Award in 2016, a Best Paper runner-up in IEEE/ACM IWQoS 2019, and the Best Paper Award in IEEE CNS 2023.

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