A Privacy-preserving Location Recommendation Scheme without Trustworthy Entity-Reference-Cited by-同舟云学术

A Privacy-preserving Location Recommendation Scheme without Trustworthy Entity

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
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Author:

Zhou Changli¹,Peng Jing¹,Ma Ying²,Jiang Qingfeng³

Affiliation:

1. College of Computer Science and Technology, Huaqiao University,Xiamen,PR China,361021

2. Fujian Province University,Key Laboratory of Data Mining and Intelligent Recommendation,Xiamen,PR China,361021

3. College of Computer Science and Engineering, Changshu Institute of Technology,Changshu,PR China,215500

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9724288/9724267/09724304.pdf?arnumber=9724304

Reference25 articles.

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2. Privacy-Preserving and Content-Protecting Location Based Queries

3. Practical Approximate k Nearest Neighbor Queries with Location and Query Privacy

4. A Top-K Query Scheme With Privacy Preservation for Intelligent Vehicle Network in Mobile IoT

5. Public-key cryptosystems based on composite degree residuosity classes [C];paillier;International Conference on the Theory and Applications of Cryptographic Techniques,1999

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