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Authors: Dan Liao 1 ; Hui Li 2 ; Vishal Anand 3 ; Victor Chang 4 ; Gang Sun 2 and Hongfang Yu 2

Affiliations: 1 University of Electronic Science and Technology of China and UESTC, China ; 2 University of Electronic Science and Technology of China, China ; 3 The College at Brockport and State University of New York, United States ; 4 Leeds Beckett University, United Kingdom

Keyword(s): Location-Based Service (LBS), K-anonymity, Location Privacy, Location-label, Sensitive Location.

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. (More)

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Paper citation in several formats:
Liao, D.; Li, H.; Anand, V.; Chang, V.; Sun, G. and Yu, H. (2016). Using Location-Labeling for Privacy Protection in Location-Based Services. In Proceedings of the International Conference on Internet of Things and Big Data - IoTBD; ISBN 978-989-758-183-0, SciTePress, pages 299-306. DOI: 10.5220/0005843402990306

@conference{iotbd16,
author={Dan Liao. and Hui Li. and Vishal Anand. and Victor Chang. and Gang Sun. and Hongfang Yu.},
title={Using Location-Labeling for Privacy Protection in Location-Based Services},
booktitle={Proceedings of the International Conference on Internet of Things and Big Data - IoTBD},
year={2016},
pages={299-306},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005843402990306},
isbn={978-989-758-183-0},
}

TY - CONF

JO - Proceedings of the International Conference on Internet of Things and Big Data - IoTBD
TI - Using Location-Labeling for Privacy Protection in Location-Based Services
SN - 978-989-758-183-0
AU - Liao, D.
AU - Li, H.
AU - Anand, V.
AU - Chang, V.
AU - Sun, G.
AU - Yu, H.
PY - 2016
SP - 299
EP - 306
DO - 10.5220/0005843402990306
PB - SciTePress

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