The University of Southampton
University of Southampton Institutional Repository

Using Location-labeling for Privacy Protection in Location-Based Services

Using Location-labeling for Privacy Protection in Location-Based Services
Using Location-labeling for Privacy Protection in Location-Based Services
The developments in positioning and mobile communication technology have made applications that use location-based services (LBS) increasingly popular. For privacy reasons and due to lack of trust in the LBS provider, k-anonymity and l-diversity techniques have been widely used to preserve user privacy in distributed LBS architectures. However, in reality, there exist scenarios where the user locations are identical or similar/near each other. In such a scenario the k locations selected by k-anonymity technique are the same and location privacy can be easily compromised or leaked. To address the issue of privacy protection, in this paper, we propose the concept of location-labels to distinguish mobile user locations to sensitive locations and ordinary locations. We design a location-label based (LLB) algorithm for protecting location privacy while minimizing the query response time of LBS. We also evaluate the performance and validate the correctness of the proposed algorithm through extensive simulations.
Location-based service (LBS), K-anonymity, Location privacy, Location-label, Sensitive location
Gang, Sun
cafbca35-c66e-46e6-9861-4b7aabe2aa11
Li, Hui
f2946764-1b60-4abf-b466-0f5225978a4b
Liao, Dan
2defec39-3969-4a91-b572-d6beed8c38c1
Anand, Vishal
5ccbcde8-f44f-4803-b0dd-5e85e5ca3837
Yu, Hongfang
caa5a2f7-6ff1-4680-a137-127fa8c75b3d
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Gang, Sun
cafbca35-c66e-46e6-9861-4b7aabe2aa11
Li, Hui
f2946764-1b60-4abf-b466-0f5225978a4b
Liao, Dan
2defec39-3969-4a91-b572-d6beed8c38c1
Anand, Vishal
5ccbcde8-f44f-4803-b0dd-5e85e5ca3837
Yu, Hongfang
caa5a2f7-6ff1-4680-a137-127fa8c75b3d
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4

Gang, Sun, Li, Hui, Liao, Dan, Anand, Vishal, Yu, Hongfang and Chang, Victor (2016) Using Location-labeling for Privacy Protection in Location-Based Services. The first international conference on Internet of Things and Big Data, Rome, Italy. 22 - 25 Apr 2016. (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

The developments in positioning and mobile communication technology have made applications that use location-based services (LBS) increasingly popular. For privacy reasons and due to lack of trust in the LBS provider, k-anonymity and l-diversity techniques have been widely used to preserve user privacy in distributed LBS architectures. However, in reality, there exist scenarios where the user locations are identical or similar/near each other. In such a scenario the k locations selected by k-anonymity technique are the same and location privacy can be easily compromised or leaked. To address the issue of privacy protection, in this paper, we propose the concept of location-labels to distinguish mobile user locations to sensitive locations and ordinary locations. We design a location-label based (LLB) algorithm for protecting location privacy while minimizing the query response time of LBS. We also evaluate the performance and validate the correctness of the proposed algorithm through extensive simulations.

Full text not available from this repository.

More information

Accepted/In Press date: 12 February 2016
Venue - Dates: The first international conference on Internet of Things and Big Data, Rome, Italy, 2016-04-22 - 2016-04-25
Keywords: Location-based service (LBS), K-anonymity, Location privacy, Location-label, Sensitive location
Organisations: Electronics & Computer Science, Electronic & Software Systems

Identifiers

Local EPrints ID: 388187
URI: http://eprints.soton.ac.uk/id/eprint/388187
PURE UUID: 1889181a-c4bb-453d-86da-eadaf6a8a3da

Catalogue record

Date deposited: 19 Feb 2016 19:04
Last modified: 14 Jul 2020 16:36

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×