Efficient Location-Based Skyline Queries With Secure R-Tree Over Encrypted Data

Author:

Wang Zuan1ORCID,Ding Xiaofeng1ORCID,Lu Junfeng1ORCID,Zhang Liang1ORCID,Zhou Pan2ORCID,Choo Kim-Kwang Raymond3ORCID,Jin Hai1ORCID

Affiliation:

1. National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

2. School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

3. Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX, USA

Funder

National Natural Science Foundation of China

CCF Huawei Innovation Research Plan

Cloud Technology Endowed Professorship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficient and Privacy-Preserving Skyline Queries Over Encrypted Data Under a Blockchain-Based Audit Architecture;IEEE Transactions on Knowledge and Data Engineering;2024-09

2. Secure Skyline Group Queries Based on Encrypted Dominance Graphs in Cloud Environments;2024 International Conference on Cloud and Network Computing (ICCNC);2024-05-31

3. Enabling Efficient Privacy-Preserving Spatiotemporal Location-Based Services for Smart Cities;IEEE Internet of Things Journal;2024-02-01

4. An Overview of Infrastructure as Code (IaC) with Performance and Availability Assessment on Google Cloud Platform;Lecture Notes in Networks and Systems;2024

5. Low-overhead Privacy-preserving Location-based Skyline Query;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

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