2 Scopus citations

Abstract

As a major branch of LBSs, geosocial networking services become popular. An important functionality of geosocial networking services is allowing people to find potential friends who have similar profile within close proximity and initiate communication with each other. However, in order to realize this functionality, most existing services require mobile users to reveal their profiles and location information to an untrusted service provider, which may expose LBSs to vulnerabilities for abuse and endanger mobile users' privacy. To address this problem, we propose to encrypt users' profile with a new searchable encryption scheme. Combining this searchable encryption scheme with other cryptographic techniques we construct a privacy-preserving matchmaking system. Compared with a previous one that aims to solve the same problem, ours is more secure, supports more flexible functionalities and moves computationally heavy key updates to resourceful service providers.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2591-2592
Number of pages2
ISBN (Electronic)9781538617915
DOIs
StatePublished - Jul 13 2017
Event37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - Atlanta, United States
Duration: Jun 5 2017Jun 8 2017

Other

Other37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017
CountryUnited States
CityAtlanta
Period6/5/176/8/17

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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    Dong, Q., & Huang, D. (2017). Privacy-Preserving Matchmaking in Geosocial Networks with Untrusted Servers. In Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017 (pp. 2591-2592). [7980246] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS.2017.71