Results 51 to 60 of about 7,115,390 (197)
k-Anonymity Location Privacy Algorithm Based on Clustering
IEEE Access, 2018 The accuracy of user location information is inversely proportional to the user's privacy preserving degree k, and is proportional to quality of query service.
Lijuan Zheng +5 more
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Sensors, 2023 With the popularity of location services and the widespread use of trajectory data, trajectory privacy protection has become a popular research area. k-anonymity technology is a common method for achieving privacy-preserved trajectory publishing.
Hua Shen, Yu Wang, Mingwu Zhang
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Generalization-Based k-Anonymization [PDF]
, 2015 Peer ...
Eva Armengol, Vicenç Torra
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Distribution‐preserving k‐anonymity [PDF]
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2018 Preserving the privacy of individuals by protecting their sensitive attributes is an important consideration during microdata release. However, it is equally important to preserve the quality or utility of the data for at least some targeted workloads. We propose a novel framework for privacy preservation based on the k‐anonymity model that is ideally ...
Dennis Wei +2 more
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Efficient scheme for user's trajectory privacy
Tongxin xuebao, 2015 As one of the most important information in location-based services (LBS),the trajectory privacy for smart devices users has gained increasingly popularity over recent years.To address this problem,(k−1) dummy trajectories to achieve trajectory k ...
Feng-hua LI +5 more
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A Differentiated Anonymity Algorithm for Social Network Privacy Preservation
Algorithms, 2016 Devising methods to publish social network data in a form that affords utility without compromising privacy remains a longstanding challenge, while many existing methods based on k-anonymity algorithms on social networks may result in nontrivial utility ...
Yuqin Xie, Mingchun Zheng
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Enhanced Location K-anonymity Privacy Protection Scheme Based on Geohash [PDF]
Jisuanji kexueWith the wide application of LBS,location privacy protection is imperative.In recent years,location k-anonymity solution has become a research hotpot which is widely used.However,k-anonymity schemes are vulnerable to background knowledge attacks.Although
LI Yongjun, ZHU Yuefei, BAI Lifang
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Improvement of the anonymity formalization based on strand space model
Tongxin xuebao, 2011 In order to make the strand space model satisfy the special needs of anonymity analysis,based on equivalent bundles and view of observer,two kinds of sender anonymities as well as recipient anonymities were defined;relation anonymity were defined in two ...
DONG Xue-wen1 +4 more
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An efficient clustering method for k-anonymization [PDF]
Proceedings of the 2008 international workshop on Privacy and anonymity in information society, 2008 The k-anonymity model is a privacy-preserving approach that has been extensively studied for the past few years. To minimize the information loss due to anonymization, it is crucial to group similar data together and then anonymize each group individually. This work proposes a clustering-based k-anonymization method that runs in O(n2/k) time.
Jun-Lin Lin, Meng-Cheng Wei
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$K$-anonymous Signaling Scheme
CoRR, 2013 We incorporate signaling scheme into Ad Auction setting, to achieve better welfare and revenue while protect users' privacy. We propose a new \emph{$K$-anonymous signaling scheme setting}, prove the hardness of the corresponding welfare/revenue maximization problem, and finally propose the algorithms to approximate the optimal revenue or welfare.
Binyi Chen, Tao Qin 0001, Tie-Yan Liu
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