Privacy-Preserving Matchmaking in Geosocial Networks with Untrusted Servers

Qiuxiang Dong; Dijiang Huang

doi:10.1109/ICDCS.2017.71

Privacy-Preserving Matchmaking in Geosocial Networks with Untrusted Servers

Qiuxiang Dong, Dijiang Huang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 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 language	English (US)
Title of host publication	Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2591-2592
Number of pages	2
ISBN (Electronic)	9781538617915
DOIs	https://doi.org/10.1109/ICDCS.2017.71
State	Published - Jul 13 2017
Event	37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - Atlanta, United States Duration: Jun 5 2017 → Jun 8 2017

Other

Other	37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017
Country/Territory	United States
City	Atlanta
Period	6/5/17 → 6/8/17

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Networks and Communications

Access to Document

10.1109/ICDCS.2017.71

Cite this

Privacy-Preserving Matchmaking in Geosocial Networks with Untrusted Servers. / Dong, Qiuxiang; Huang, Dijiang.
Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2591-2592 7980246.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 7980246, Institute of Electrical and Electronics Engineers Inc., pp. 2591-2592, 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017, Atlanta, United States, 6/5/17. https://doi.org/10.1109/ICDCS.2017.71

@inproceedings{6de85e9944594b3788431008f0df0521,

title = "Privacy-Preserving Matchmaking in Geosocial Networks with Untrusted Servers",

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.",

author = "Qiuxiang Dong and Dijiang Huang",

year = "2017",

month = jul,

day = "13",

doi = "10.1109/ICDCS.2017.71",

language = "English (US)",

pages = "2591--2592",

booktitle = "Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 ; Conference date: 05-06-2017 Through 08-06-2017",

}

TY - GEN

T1 - Privacy-Preserving Matchmaking in Geosocial Networks with Untrusted Servers

AU - Dong, Qiuxiang

AU - Huang, Dijiang

PY - 2017/7/13

Y1 - 2017/7/13

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85027249330&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85027249330&partnerID=8YFLogxK

U2 - 10.1109/ICDCS.2017.71

DO - 10.1109/ICDCS.2017.71

M3 - Conference contribution

AN - SCOPUS:85027249330

SP - 2591

EP - 2592

BT - Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017

Y2 - 5 June 2017 through 8 June 2017

ER -

Privacy-Preserving Matchmaking in Geosocial Networks with Untrusted Servers

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this