Attacks on Anonymization-Based Privacy-Preserving: A Survey for Data Mining and Data Publishing

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ISSN Print: 2153-1234
ISSN Online: 2153-1242

Website: https://www.scirp.org/journal/jis
E-mail: jis@scirp.org

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Submission

"Attacks on Anonymization-Based Privacy-Preserving: A Survey for Data Mining and Data Publishing"
written by Abou-el-ela Abdou Hussien, Nermin Hamza, Hesham A. Hefny,
published by Journal of Information Security, Vol.4 No.2, 2013

has been cited by the following article(s):

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[11]	Anonymisation de données par généralisation. Méthode avec guidage
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[12]	On Minimality Attack for Privacy-Preserving Data Publishing
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[13]	Anonymization based privacy preservation over cloud data using incremental clustering and map reduce approach on big data
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[15]	On Minimality Attack in Privacy Preserving Data Publishing
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[17]	Classification and evaluation of Privacy Preserving Data Mining: A review
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[18]	Attribute based diversity model for privacy preservation
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[19]	Privacy-preserving tabular data publishing: a comprehensive evaluation from web to cloud
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[20]	Using Homomorphic Encryption to Compute Privacy Preserving Data Mining in a Cloud Computing Environment
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[21]	A Study on k-anonymity, l-diversity, and t-closeness Techniques
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[22]	Share a pie?: Privacy-Preserving Knowledge Base Export through Count-min Sketches
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[23]	Hybrid Approach with Zero Mean Distribution and Randomization for Privacy Preservation Technique
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[24]	PRIVACY PRESERVING DATA MINING TECHNIQUES USING RECENT ALGORITHMS
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[25]	Data Security: Modified Privacy-Preserving Data Mining Algorithm
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[26]	Protecting Sensitive Knowledge with Effective Privacy Preservation
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[27]	Clustering Based L-Diversity Anonymity Model for Privacy Preservation of Data Publishing
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[28]	几种隐私数据挖掘算法研究进展
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[29]	Survey on Privacy Preserving Data Mining Techniques using Recent Algorithms
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[30]	Challenges on Anonymity, Privacy, and Big Data
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[31]	Privacy Preserving Data Mining On Published Data in Healthcare: A Survey
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[32]	Re-identification attacks—A systematic literature review
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[33]	Location-dependent disclosure risk based decision support framework for persistent authentication in pervasive computing applications
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[34]	An improved Ambiguity+anonymization technique with enhanced data utility
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[35]	Enhanced Privacy Preserving Model for Data Using (α, β, k)-Anonymity Model and Lossy join
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[36]	Enhanced Privacy Preserving Model for Data Using ([alpha],[Beta],[kappa])-Anonymity Model and Lossy join
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[37]	The Impact of Anonymization for Automated Essay Scoring
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[40]	Survey on Anonymization in Privacy Preserving Data Mining
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[41]	Ethics of Data Mining: a New Zealand Survey
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[42]	Privacy-Preserving Health Data Collection for Preschool Children
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[1]	Advances in E-Business Engineering for Ubiquitous Computing Lecture Notes on Data Engineering and Communications Technologies, 2020 DOI:10.1007/978-3-030-34986-8_39

[2]	Data mining privacy preserving: Research agenda WIREs Data Mining and Knowledge Discovery, 2020 DOI:10.1002/widm.1392

[3]	Privacy-Preserving Clustering for Big Data in Cyber-Physical-Social Systems: Survey and Perspectives Information Sciences, 2019 DOI:10.1016/j.ins.2019.10.019

[4]	A New Privacy Preserving Data Publishing Technique Conserving Accuracy of Classification on Anonymized Data Signal and Data Processing, 2018 DOI:10.29252/jsdp.15.3.31

[5]	Hybrid Approach with Zero Mean Distribution and Randomization for Privacy Preservation Technique 2017 International Conference on Innovations in Control, Communication and Information Systems (ICICCI), 2017 DOI:10.1109/ICICCIS.2017.8660764

[6]	Share a pie? Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy - CODASPY '17, 2017 DOI:10.1145/3029806.3029817

[7]	Classification and evaluation of Privacy Preserving Data Mining: A review 2017 IEEE AFRICON, 2017 DOI:10.1109/AFRCON.2017.8095593

[8]	Attribute based diversity model for privacy preservation 2017 8th International Conference on Information Technology (ICIT), 2017 DOI:10.1109/ICITECH.2017.8080053

[9]	Enhanced additive noise approach for privacy-preserving tabular data publishing 2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS), 2017 DOI:10.1109/INTELCIS.2017.8260076

[10]	Challenges on Anonymity, Privacy, and Big Data 2016 Seventh Latin-American Symposium on Dependable Computing (LADC), 2016 DOI:10.1109/LADC.2016.34

[11]	Privacy preserving data mining on published data in healthcare: A survey 2016 7th International Conference on Computer Science and Information Technology (CSIT), 2016 DOI:10.1109/CSIT.2016.7549444

[12]	Utility-Based Anonymization Using Generalization Boundaries to Protect Sensitive Attributes Journal of Information Security, 2015 DOI:10.4236/jis.2015.63019

[13]	The Impact of Anonymization for Automated Essay Scoring Journal of Educational Measurement, 2015 DOI:10.1111/jedm.12093

[14]	An improved Ambiguity⁺ anonymization technique with enhanced data utility 2015 7th Conference on Information and Knowledge Technology (IKT), 2015 DOI:10.1109/IKT.2015.7288743

[15]	Privacy-Preserving Health Data Collection for Preschool Children Computational and Mathematical Methods in Medicine, 2013 DOI:10.1155/2013/501607