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A Density-based Clustering Method for K-anonymity Privacy Protection
2017
Journal of Information Hiding and Multimedia Signal Processing
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In order to prevent sensitive information leakage in the cloud storage, we propose a density-based clustering method for K-anonymity privacy protection. ...
The experimental results show that the new algorithm can effectively realize K-anonymity privacy protection. ...
In this paper, we adopt density-based clustering method for K-anonymity privacy protection. The data will be aggregated as K clusters. ...
dblp:journals/jihmsp/LiuYLT17
fatcat:bqqyapdznbbvrpvhadeb3zibsq
Classification via Clustering for Anonym zed Data
2014
International Journal of Computer Network and Information Security
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The accuracy of classification via clustering is evaluated using Kmeans, Expectation-Maximization (EM) and Density based clustering methods. ...
The aim of this study is to investigate the performance of different clustering methods for the diabetic data set and to compare the efficiency of privacy preserving mining. ...
The accuracy of classification via clustering is evaluated using K-means, EM, and Density based clustering methods. ...
doi:10.5815/ijcnis.2014.03.07
fatcat:d6z3ep5hsjc2bicqbupimo7dim
Enhanced Clustering Based OSN Privacy Preservation to Ensure k-Anonymity, t-Closeness, l-Diversity, and Balanced Privacy Utility
2023
Computers Materials & Continua
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The threshold value is determined based on the supplied OSN data of edges, nodes, and user attributes. Clusters are k-anonymized with multiple graph properties by a novel one-pass algorithm. ...
After achieving the k-anonymity of clusters, optimization was performed to achieve all privacy models, such as k-anonymity, t-closeness, and l-diversity. ...
Funding Statement: The authors received no specific funding for this study.
Conflicts of Interest: The authors declare they have no conflicts of interest to report regarding the present study. ...
doi:10.32604/cmc.2023.035559
fatcat:fzkathwff5et3gezgktxapg73y
Mapping Health Data: Improved Privacy Protection With Donut Method Geomasking
2010
American Journal of Epidemiology
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A major challenge in mapping health data is protecting patient privacy while maintaining the spatial resolution necessary for spatial surveillance and outbreak identification. ...
Results show that the donut method provides a consistently higher level of privacy protection with a minimal decrease in cluster detection performance, especially in areas where the risk to individual ...
Privacy protection The k-anonymity metric was also used to measure privacy protection performance. ...
doi:10.1093/aje/kwq248
pmid:20817785
pmcid:PMC2984253
fatcat:7usvybhm7bc4ro4qe5p5rlbrqi
A Strategy of Cluster-Based Distributed Location Service
2019
Mobile Information Systems
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In the proposed strategy, the density-first clustering method was used to establish location information profiles for users, and neighboring user groups satisfied the (k, d) anonymous model. ...
A new strategy of cluster-based distributed location service was proposed to solve communication bottlenecks and vulnerability in centralized system structure location service. ...
Based on the k-anonymous privacy protection method, the (k, d) privacy protection model is designed for providing high-quality and personalized location service and ensuring the user's location privacy ...
doi:10.1155/2019/2739104
fatcat:p5duoisdlzhexagcd3pybbzdda
Privacy Preservation in Online Social Networks Using Multiple-Graph-Properties-Based Clustering to Ensure k-Anonymity, l-Diversity, and t-Closeness
2021
Electronics
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This study proposes a novel method that effectively anonymizes OSNs using multiple-graph-properties-based clustering. ...
Furthermore, the clusters ensure improved k-anonymization by a novel one-pass anonymization algorithm to address l-diversity and t-closeness privacy requirements. ...
Acknowledgments: We would like to thank Symbiosis International (Deemed University) for providing research facilities.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/electronics10222877
fatcat:rd3hljolwjh5jmv67duntcnq5a
A Dynamic Privacy Protection Mechanism for Spatiotemporal Crowdsourcing
2020
Security and Communication Networks
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Therefore, this paper proposes a spatiotemporal privacy protection (STPP) method based on dynamic clustering methods to solve the privacy protection problem for crowd participants in spatiotemporal crowdsourcing ...
Firstly, the working principles of a dynamic privacy protection mechanism are introduced. Then, based on k-anonymity and l-diversity, the spatiotemporal sensitive data are anonymized. ...
In [26] , a k-anonymous location privacy protection method based on coordinate transformation was proposed for the problem that the third-party truthful server (TTP) was often untruthful in real life ...
doi:10.1155/2020/8892954
fatcat:g4hypqfz2jgr3nzjdlbp2z3kom
Adaptive areal elimination (AAE): A transparent way of disclosing protected spatial datasets
2016
Computers, Environment and Urban Systems
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The masking methods are evaluated for preserving a predefined K-anonymity and the spatial characteristics of the original points. ...
The masking process displaces confidential locations to protect individual privacy while maintaining a fine level of spatial resolution. ...
Lampoltshammer (Salzburg University of Applied Sciences) and Dražen Odobašić (University of Zagreb) for their technical support. ...
doi:10.1016/j.compenvurbsys.2016.01.004
fatcat:x3drdtwcgngu3cpmjqewycqmce
Differentially Private Timestamps Publishing in Trajectory
2023
Electronics
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To solve this problem, in this paper, we first propose a k-anonymity-based mechanism to hide the user's specific time segment during a single day, and then propose an optimized truncated Laplacian mechanism ...
The time data after secondary processing are fuzzy and uncertain, which not only protects the privacy of the user's geographical location from the time dimension but also retains a certain value of data ...
Preliminaries
k-Anonymity The k-anonymity privacy protection is based on generalization and suppression. ...
doi:10.3390/electronics12020361
fatcat:yqmf3heal5aszpntmn66e6dcb4
Research on Privacy Protection Technology of Mobile Social Network Based on Data Mining under Big Data
2022
Security and Communication Networks
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Therefore, it is of great significance to study data publishing, data mining methods based on differential privacy protection, and their application in social networks. ...
Using differential privacy protection methods in social networks can effectively protect users' privacy information in data publishing and data mining. ...
Literature [25] constructs K anonymity model for path privacy, and the construction method is to modify different types of edges based on greedy ideas. ...
doi:10.1155/2022/3826126
fatcat:6h6smtlj6zc3zfvrpc3iefstzu
Encryption based Privacy Preservation on Big Data using Dynamic Data Encryption Strategy
2019
International Journal for Research in Applied Science and Engineering Technology
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There are many algorithms available for clustering the big data. This section focus on the density based clustering algorithms and its related works. ...
This article represents a concern about data privacy and suggests a novel data encryption approach known as Dynamic Data Encryption Strategy (DDES). ...
Privacy methods like k-anonymity use generalization/suppression techniques to hide an individual's identifiable information [10] . ...
doi:10.22214/ijraset.2019.6047
fatcat:rthpdddtejfphp3oyef27wnzuy
Privacy Preservation on Big Data using Efficient Privacy Preserving Algorithm
2019
International Journal for Research in Applied Science and Engineering Technology
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In this article, we propose anonymization method to protect privacy of data during big data processing. ...
In this article, we analyze a method of hiding sensitive information on big data by reconstruct a dataset according to the anonymization technique applied to clustered data. ...
PRIVACY PRESERVATION TECHNIQUES In privacy preserving data mining and data publishing, protection of privacy is achieved using Anonymization and Cryptography, among which k-anonymity and k-anonymity based ...
doi:10.22214/ijraset.2019.6048
fatcat:3iywdjtajbfj7jcxsgpml7lzre
Privacy risk in GeoData: A survey
[article]
2024
arXiv
pre-print
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In this survey, we analyse different geomasking techniques that have been proposed to protect the privacy of individuals in geodata. ...
The exposure of location data constitutes a significant privacy risk to users as it can lead to de-anonymisation, the inference of sensitive information, and even physical threats. ...
Figure 7 illustrates how original k-means clustering (left plot) and how differential privacy based k-means clustering (right plot) protects location privacy. ...
arXiv:2402.03612v1
fatcat:ifv4c2tag5clnn2xh6hm3c5r4a
Research on Location Privacy Protection of Dynamic Anonymous Domain Based on Grid User Density
2019
DEStech Transactions on Engineering and Technology Research
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To solve this problem, this paper proposes location privacy protection method for dynamic anonymous domain based on grid user density, which can shrink and expand anonymous domain reasonably on the basis ...
The existing location anonymity algorithms do not consider the distribution of user density in the region. ...
We thank senior engineer Yilong Xiao for excellent technical support and valueable discussion. ...
doi:10.12783/dtetr/amsms2019/31868
fatcat:qkfghd4qxzfajdvv2uadycjapu
Interchange-based Privacy Protection for Publishing Trajectories
2019
IEEE Access
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Before trajectories for data mining are published, they need to be processed to protect the privacy of the trajectories' bodies. In this paper, a method for such privacy protection is proposed. ...
The method treats the trajectory points as the privacy protection object. ...
The privacy protection methods based on clustering trajectories cause serious information loss. ...
doi:10.1109/access.2019.2942720
fatcat:ztfbd47zmvhu5li4vsi5b7wx7i
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