A Clustering K-Anonymity Scheme for Location Privacy Preservation
نویسندگان
چکیده
منابع مشابه
A Clustering K-Anonymity Scheme for Location Privacy Preservation
The continuous advances in sensing and positioning technologies have resulted in a dramatic increase in popularity of LocationBased Services (LBS). Nevertheless, the LBS can lead to user privacy breach due to sharing location information with potentially malicious services. A high degree of location privacy preservation for LBS is extremely required. In this paper, a clustering K-anonymity sche...
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In recent years, with the development of mobile devices, the location based services (LBSs) have become more and more prevailing and most applications installed on these devices call for location information. Yet, the untrusted LBS provider can collect these location information, which may potentially threaten users’ location privacy. In view of this challenge, we propose a two-tier schema for ...
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Data privacy preservation has drawn considerable interests in data mining research recently. The k-anonymity model is a simple and practical approach for data privacy preservation. This paper proposes a novel clustering method for conducting the k-anonymity model effectively. In the proposed clustering method, feature weights are automatically adjusted so that the information distortion can be ...
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K-anonymity is an effective model for protecting privacy while publishing data, which can be implemented by different ways. Among them, local generalization are popular because of its low information loss. But such algorithms are generally computation expensive making it difficult to perform well in the case of large amount of data. In order to solve this problem, this paper proposes a clusteri...
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Continued advances in mobile networks and positioning technologies have created a strong market push for location-based services (LBSs). Examples include location-aware emergency services, location based service advertisement, and location sensitive billing. One of the big challenges in wide deployment of LBS systems is the privacy-preserving management of location-based data. Without safeguard...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2012
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e95.d.134