Protecting privacy for group nearest neighbor queries with crowdsourced data and computing

Tanzima Hashem; Mohammed Eunus Ali; Lars Kulik; Egemen Tanin; Anthony Quattrone

doi:10.1145/2493432.2494524

Protecting privacy for group nearest neighbor queries with crowdsourced data and computing

Tanzima Hashem
, Mohammed Eunus Ali
, Lars Kulik
, Egemen Tanin
, Anthony Quattrone

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

13 Citations (Scopus)

Abstract

User privacy in location-based services (LBSs) has become an important research area. We introduce a new direction to protect user privacy that evaluates LBSs with crowdsourced data and computation and eliminates the role of a location based service provider. We focus on the group nearest neighbor (GNN) query that allows a group to meet at their nearest point of interest such as a restaurant that minimizes the total or maximum distance of the group. We develop a crowdsource-based approach, called Private Meet Up, to evaluate GNN queries in a privacy preserving manner and implement a working prototype of Private Meet Up.

Original language	English
Title of host publication	UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Publisher	Association for Computing Machinery (ACM)
Pages	559-562
Number of pages	4
ISBN (Print)	9781450317702
DOIs	https://doi.org/10.1145/2493432.2494524
Publication status	Published - 2013
Externally published	Yes
Event	ACM International Joint Conference on Pervasive and Ubiquitous Computing 2013 - Zurich, Switzerland Duration: 8 Sept 2013 → 12 Sept 2013

Conference

Conference	ACM International Joint Conference on Pervasive and Ubiquitous Computing 2013
Abbreviated title	UbiComp 2013
Country/Territory	Switzerland
City	Zurich
Period	8/09/13 → 12/09/13

Keywords

Crowdsourcing
Group nearest neighbor queries
Privacy

Access to Document

10.1145/2493432.2494524

Cite this

Hashem, T., Ali, M. E., Kulik, L., Tanin, E., & Quattrone, A. (2013). Protecting privacy for group nearest neighbor queries with crowdsourced data and computing. In UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 559-562). Association for Computing Machinery (ACM). https://doi.org/10.1145/2493432.2494524

@inproceedings{6781f1e2c7aa4458bcb17c6511bb6cf5,

title = "Protecting privacy for group nearest neighbor queries with crowdsourced data and computing",

abstract = "User privacy in location-based services (LBSs) has become an important research area. We introduce a new direction to protect user privacy that evaluates LBSs with crowdsourced data and computation and eliminates the role of a location based service provider. We focus on the group nearest neighbor (GNN) query that allows a group to meet at their nearest point of interest such as a restaurant that minimizes the total or maximum distance of the group. We develop a crowdsource-based approach, called Private Meet Up, to evaluate GNN queries in a privacy preserving manner and implement a working prototype of Private Meet Up.",

keywords = "Crowdsourcing, Group nearest neighbor queries, Privacy",

author = "Tanzima Hashem and Ali, \{Mohammed Eunus\} and Lars Kulik and Egemen Tanin and Anthony Quattrone",

year = "2013",

doi = "10.1145/2493432.2494524",

language = "English",

isbn = "9781450317702",

pages = "559--562",

booktitle = "UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

note = "ACM International Joint Conference on Pervasive and Ubiquitous Computing 2013, UbiComp 2013 ; Conference date: 08-09-2013 Through 12-09-2013",

}

Hashem, T, Ali, ME, Kulik, L, Tanin, E & Quattrone, A 2013, Protecting privacy for group nearest neighbor queries with crowdsourced data and computing. in UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery (ACM), pp. 559-562, ACM International Joint Conference on Pervasive and Ubiquitous Computing 2013, Zurich, Switzerland, 8/09/13. https://doi.org/10.1145/2493432.2494524

Protecting privacy for group nearest neighbor queries with crowdsourced data and computing. / Hashem, Tanzima; Ali, Mohammed Eunus; Kulik, Lars et al.
UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery (ACM), 2013. p. 559-562.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Protecting privacy for group nearest neighbor queries with crowdsourced data and computing

AU - Hashem, Tanzima

AU - Ali, Mohammed Eunus

AU - Kulik, Lars

AU - Tanin, Egemen

AU - Quattrone, Anthony

PY - 2013

Y1 - 2013

N2 - User privacy in location-based services (LBSs) has become an important research area. We introduce a new direction to protect user privacy that evaluates LBSs with crowdsourced data and computation and eliminates the role of a location based service provider. We focus on the group nearest neighbor (GNN) query that allows a group to meet at their nearest point of interest such as a restaurant that minimizes the total or maximum distance of the group. We develop a crowdsource-based approach, called Private Meet Up, to evaluate GNN queries in a privacy preserving manner and implement a working prototype of Private Meet Up.

AB - User privacy in location-based services (LBSs) has become an important research area. We introduce a new direction to protect user privacy that evaluates LBSs with crowdsourced data and computation and eliminates the role of a location based service provider. We focus on the group nearest neighbor (GNN) query that allows a group to meet at their nearest point of interest such as a restaurant that minimizes the total or maximum distance of the group. We develop a crowdsource-based approach, called Private Meet Up, to evaluate GNN queries in a privacy preserving manner and implement a working prototype of Private Meet Up.

KW - Crowdsourcing

KW - Group nearest neighbor queries

KW - Privacy

UR - https://www.scopus.com/pages/publications/84885235595

U2 - 10.1145/2493432.2494524

DO - 10.1145/2493432.2494524

M3 - Conference Paper

AN - SCOPUS:84885235595

SN - 9781450317702

SP - 559

EP - 562

BT - UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

PB - Association for Computing Machinery (ACM)

T2 - ACM International Joint Conference on Pervasive and Ubiquitous Computing 2013

Y2 - 8 September 2013 through 12 September 2013

ER -

Protecting privacy for group nearest neighbor queries with crowdsourced data and computing

Abstract

Conference

Keywords

Access to Document

Other files and links

Cite this