research-article

Location Privacy Protection Scheme Based on Location Services

Authors:

Wei YanAuthors Info & Claims

ICCNS '19: Proceedings of the 2019 9th International Conference on Communication and Network Security

Pages 30 - 33

https://doi.org/10.1145/3371676.3371695

Published: 13 January 2020 Publication History

Abstract

Location-based services (LBS) in the mobile internet applications are very important and provide a great convenience. However, at the same time it brings the threat of privacy leak. For location services, a location privacy protection scheme is proposed, which includes location hiding algorithm and query privacy protection algorithm. Q-Tree storage ensures that anonymous location units are as dispersed as possible. The point of interest (POI) with higher query probability is selected as the query content of anonymous location unit, which protects the user's query privacy. At the same time, private information retrieval technology (PIR) is used to provide users with higher privacy and security protection. Finally, the effectiveness of the scheme is proved by privacy analysis and experimental results.

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Cited By

Peng TZhong WGuan KZou YZhu JWang G(2021)A Fine-grained Privacy-Preserving Profile Matching Scheme in Mobile Social Networks2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)10.1109/TrustCom53373.2021.00069(413-419)Online publication date: Oct-2021
https://doi.org/10.1109/TrustCom53373.2021.00069

Index Terms

Location Privacy Protection Scheme Based on Location Services
1. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Privacy protections

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cover image ACM Other conferences

ICCNS '19: Proceedings of the 2019 9th International Conference on Communication and Network Security

November 2019

172 pages

ISBN:9781450376624

DOI:10.1145/3371676

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Tokyo
Chongqing University of Posts and Telecommunications

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 January 2020

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Science and Technology Research Project of Liaoning Provincial Education Department, China

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ICCNS 2019

ICCNS 2019: 2019 the 9th International Conference on Communication and Network Security

November 15 - 17, 2019

Chongqing, China

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Cited By

Peng TZhong WGuan KZou YZhu JWang G(2021)A Fine-grained Privacy-Preserving Profile Matching Scheme in Mobile Social Networks2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)10.1109/TrustCom53373.2021.00069(413-419)Online publication date: Oct-2021
https://doi.org/10.1109/TrustCom53373.2021.00069

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