A K-Anonymity Based Schema for Location Privacy Preservation
نویسندگان
چکیده
منابع مشابه
A K-Anonymity Based Schema for Location Privacy Preservation
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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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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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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Privacy-preserving data publication for data mining is to protect sensitive information of individuals in published data while the distortion to the data is minimized. Recently, it is shown that (α, k)anonymity is a feasible technique when we are given some sensitive attribute(s) and quasi-identifier attributes. In previous work, generalization of the given data table has been used for the anon...
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ژورنال
عنوان ژورنال: IEEE Transactions on Sustainable Computing
سال: 2019
ISSN: 2377-3782,2377-3790
DOI: 10.1109/tsusc.2017.2733018