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Privacy-Preserving Data Publishing

Bee-Chung Chen, Daniel Kifer, Kristen LeFevre, Ashwin Machanavajjhala
2009 Foundations and Trends in Databases  
In this paper, we survey research work in privacy-preserving data publishing.  ...  Privacy is an important issue when one wants to make use of data that involves individuals' sensitive information.  ...  Full text available at: 1.4 Overview 13 Overview Given a data set, privacy-preserving data publishing can be intuitively thought of as a game among four parties:  ... 
doi:10.1561/1900000008 fatcat:zpbeju7bandxjda3renc7gy62y

Privacy-Preserving Data Publishing [chapter]

Raymond Ng, Jiawei Han, Anthony Tung, Jie Yang
2008 Constrained Clustering  
Since data mining often involves person-specific and sensitive information like medical records, the public has expressed a deep concern about their privacy.  ...  Abstract The success of data mining relies on the availability of high quality data.  ...  Privacy Models in Privacy-Preserving Data Publishing Generally speaking, a privacy threat occurs either when an identity is linked to a record or when an identity is linked to a value on some sensitive  ... 
doi:10.1201/9781584889977.ch16 fatcat:qm4xllb5ajaorlbdhahjl4yv4m

An Overview of Privacy Preserving Data Mining

Xinjun Qi, Mingkui Zong
2012 Procedia Environmental Sciences  
Anonymous Privacy Protection Anonymous release chose to publish the raw data. In order to achieve privacy protection, sensitive data does not publish or release sensitive data with lower accuracy.  ...  Evaluation of Privacy Protection Algorithms An important aspect on privacy preserving data mining algorithms and tools for developing and evaluating is to select the appropriate evaluation criteria, but  ... 
doi:10.1016/j.proenv.2012.01.432 fatcat:qdf72pz7z5dmdi2ezsux4ucxcq

Privacy-Preserving Publishing of Hierarchical Data

Ismet Ozalp, Mehmet Emre Gursoy, Mehmet Ercan Nergiz, Yucel Saygin
2016 ACM Transactions on Privacy and Security  
Chapter 2 Privacy Preserving Generalization of Hierarchical Data Overview In this chapter we present a novel privacy preserving publishing technique on hierarchical datasets.  ...  Due to its simplicity, prior research on privacy preserving data publishing addressed tabular data.  ... 
doi:10.1145/2976738 fatcat:6podhl65afcw5lbijvbrtd274a

Privacy preserving data publishing: Review

Hatem Rashid Asmaa, Binti Mohd Yasin Norizan
2015 International Journal of Physical Sciences  
Privacy preserving data publishing (PPDP) methods a new class of privacy preserving data mining (PPDM) technology, has been developed by the research community working on security and knowledge discovery  ...  These methods aims to keep the underlying data useful based on privacy preservation "utility based method based on privacy preservation, and created tremendous opportunities for knowledge-and information-based  ...  PRIVACY PRESERVING DATA PUBLISHING PPDP provides methods and tools for publishing useful information while preserving data privacy (Chen et al., 2012; Fung et al., 2010) .  ... 
doi:10.5897/ijps11.1795 fatcat:ro5eolyfmrc4tn6itnywbuwlvq

Privacy-preserving Data Mining, Sharing and Publishing [article]

Katarzyna Pasierb, Tomasz Kajdanowicz, Przemyslaw Kazienko
2013 arXiv   pre-print
The goal of the paper is to present different approaches to privacy-preserving data sharing and publishing in the context of e-health care systems.  ...  In particular, the literature review on technical issues in privacy assurance and current real-life high complexity implementation of medical system that assumes proper data sharing mechanisms are presented  ...  TYPICAL SCENARIO OF PRIVACY-PRESERVING DATA PUBLISHING Privacy-preserving data publishing uses methods and tools both for publishing and preserving data privacy.  ... 
arXiv:1304.1877v1 fatcat:rywiusiyineelia255nnuudmwm

Privacy-Preserving Data Publishing in Process Mining [chapter]

Majid Rafiei, Wil M. P. van der Aalst
2020 Lecture Notes in Business Information Processing  
Privacy preservation techniques obviously need to modify the original data, yet, at the same time, they are supposed to preserve the data utility.  ...  Hence, new infrastructures need to be designed for publishing the privacy-aware event data whose aim is to provide metadata regarding the privacy-related transformations on event data without revealing  ...  Privacy-Preserving Data Publishing Privacy-preserving data publishing is the process of changing the original data before publishing such that the published data remain practically useful while individual  ... 
doi:10.1007/978-3-030-58638-6_8 fatcat:2djz7ixcn5eejgcdhdoqhlel6m

Privacy Preserving Data Publishing for Recommender System

Xiaoqiang Chen, Vincent Huang
2012 2012 IEEE 36th Annual Computer Software and Applications Conference Workshops  
This undertaking is in the scope of privacy preserving data publishing (PPDP) (Fung, et al., June, 2010) .  ...  Conclusion The subject of this thesis is about privacy preserving data publishing for recommender system.  ... 
doi:10.1109/compsacw.2012.33 dblp:conf/compsac/ChenH12 fatcat:e5hjwmrjjneolgbyercmxk6uom

Privacy-preserving data publishing for cluster analysis

Benjamin C.M. Fung, Ke Wang, Lingyu Wang, Patrick C.K. Hung
2009 Data & Knowledge Engineering  
This paper presents a practical data publishing framework for generating a masked version of data that preserves both individual privacy and information usefulness for cluster analysis.  ...  Releasing person-specific data could potentially reveal sensitive information about individuals. k-anonymization is a promising privacy protection mechanism in data publishing.  ...  This creates a new problem in privacy-preserving data publishing.  ... 
doi:10.1016/j.datak.2008.12.001 fatcat:3co4fll6xnd7zijb4ibv6lzkka

Literature Survey of Privacy Preserving Data Publishing (PPDP) Techniques

Amita Sharma
2017 International Journal Of Engineering And Computer Science  
Original data is not published due to some privacy issues. So, techniques are needed to preserve privacy of data.  ...  This paper includes the comparative study of various techniques available to preserve the privacy of published data.  ...  It Directly hides sensitive data and Fails to preserve the truthfulness at record level.• Privacy preservation data publishing(PPDP):In PPDP, sensitive data is not hide but hide the identity of an individual  ... 
doi:10.18535/ijecs/v6i4.12 fatcat:wvcoz7nw25eobav2qb6o7ynaqy


Alphonsa Vedangi .
2013 International Journal of Research in Engineering and Technology  
slicing for privacy preserving and data publishing.  ...  (α,k)- anonymity: an enhanced k-anonymity model for privacy preserving data publishing.In KDD,pages 754- 759,2006. [6].  ... 
doi:10.15623/ijret.2013.0210016 fatcat:yfrsicygondabegrcdxnr5pi5m

Survey on Privacy-Preserving Techniques for Data Publishing [article]

Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes
2022 arXiv   pre-print
Such de-identification is guaranteed through privacy-preserving techniques.  ...  Statistical Disclosure Control is an area that is expanding and needs to be explored since there is still no solution that guarantees optimal privacy and utility.  ...  In this section, we provide an overview of some problems and challenges that frequently coexist with the privacy-preserving data publishing research area.  ... 
arXiv:2201.08120v1 fatcat:d7jy6jnuwbftpnahf4ywklztje

HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing [article]

Xiao Han and Yuncong Yang and Junjie Wu
2021 arXiv   pre-print
Minimizing privacy leakage while ensuring data utility is a critical problem to data holders in a privacy-preserving data publishing task.  ...  This work takes a pilot study on privacy-preserving data publishing when both generalization and obfuscation operations are employed for heterogeneous data protection.  ...  Fig. 2 gives an overview of HyObscure.  ... 
arXiv:2112.07850v1 fatcat:nnsuegy5crc5vmpj4m6xxwnjfm

A general framework for privacy preserving data publishing

A.H.M. Sarowar Sattar, Jiuyong Li, Xiaofeng Ding, Jixue Liu, Millist Vincent
2013 Knowledge-Based Systems  
Data publishing is an easy and economic means for data sharing, but the privacy risk is a major concern in data publishing.  ...  In this paper, we propose a new framework for privacy preserving data publishing.  ...  Algorithm overview Here we present an overview of our algorithm with an elaboration of the key steps.  ... 
doi:10.1016/j.knosys.2013.09.022 fatcat:jkzrwnshdne2lncmmhoky4jgbe

δ-Dependency for privacy-preserving XML data publishing

Anders H. Landberg, Kinh Nguyen, Eric Pardede, J. Wenny Rahayu
2014 Journal of Biomedical Informatics  
We provide general rules, both for transforming a private XML schema into a published XML schema, and for mapping private XML data to the new privacy-protected published XML data.  ...  Lastly, we provide an implementation of our model, algorithm and privacy property, and perform an experimental analysis, to demonstrate the proposed privacy scheme in practical application.  ...  preservation techniques, before publishing the data for public use.  ... 
doi:10.1016/j.jbi.2014.01.013 pmid:24518557 fatcat:464hdd6fgvhd7a6olppvumllri
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