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L2P2: A location-label based approach for privacy preserving in LBS

L2P2: A location-label based approach for privacy preserving in LBS
L2P2: A location-label based approach for privacy preserving in LBS
The developments in positioning and mobile communication technology have made the location-based service (LBS) applications more and more popular. For privacy reasons and due to lack of trust in the LBS providers, k-anonymity and l-diversity techniques have been widely used to preserve privacy of users in distributed LBS architectures in Internet of Things (IoT). However, in reality, there are scenarios where the locations of users are identical or similar/near each other in IoT. In such scenarios 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 preservation, in this paper, we introduce the location labels to distinguish locations of mobile users to sensitive and ordinary locations. We design a location-label based (LLB) algorithm for protecting location privacy of users while minimizing the response time for LBS requests. 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
1-10
Sun, Gang
4b057bd1-8ff8-4b38-a9aa-b00294327f19
Liao, Dan
2defec39-3969-4a91-b572-d6beed8c38c1
Li, Hui
f2946764-1b60-4abf-b466-0f5225978a4b
Yu, Hongfang
caa5a2f7-6ff1-4680-a137-127fa8c75b3d
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Sun, Gang
4b057bd1-8ff8-4b38-a9aa-b00294327f19
Liao, Dan
2defec39-3969-4a91-b572-d6beed8c38c1
Li, Hui
f2946764-1b60-4abf-b466-0f5225978a4b
Yu, Hongfang
caa5a2f7-6ff1-4680-a137-127fa8c75b3d
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4

Sun, Gang, Liao, Dan, Li, Hui, Yu, Hongfang and Chang, Victor (2016) L2P2: A location-label based approach for privacy preserving in LBS. Future Generation Computer Systems, 1-10. (doi:10.1016/j.future.2016.08.023).

Record type: Article

Abstract

The developments in positioning and mobile communication technology have made the location-based service (LBS) applications more and more popular. For privacy reasons and due to lack of trust in the LBS providers, k-anonymity and l-diversity techniques have been widely used to preserve privacy of users in distributed LBS architectures in Internet of Things (IoT). However, in reality, there are scenarios where the locations of users are identical or similar/near each other in IoT. In such scenarios 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 preservation, in this paper, we introduce the location labels to distinguish locations of mobile users to sensitive and ordinary locations. We design a location-label based (LLB) algorithm for protecting location privacy of users while minimizing the response time for LBS requests. We also evaluate the performance and validate the correctness of the proposed algorithm through extensive simulations.

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Privacy_for_FGCS_final.pdf - Accepted Manuscript
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More information

Accepted/In Press date: 31 August 2016
e-pub ahead of print date: 9 September 2016
Keywords: location-based service (LBS), K-anonymity, location privacy, location-label, sensitive location
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 400417
URI: http://eprints.soton.ac.uk/id/eprint/400417
PURE UUID: a0680811-e968-4c78-ab8d-d1513d16bd48

Catalogue record

Date deposited: 12 Sep 2016 16:44
Last modified: 15 Mar 2024 05:53

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Contributors

Author: Gang Sun
Author: Dan Liao
Author: Hui Li
Author: Hongfang Yu
Author: Victor Chang

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