LHS-Based Hybrid Microdata vs Rank Swapping and Microaggregation for Numeric Microdata Protection

Author:

Dandekar Ramesh A.,Domingo-Ferrer Josep,Sebé Francesc

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. R.A. Dandekar, “Performance improvement of restricted pairing algorithm for Latin hypercube sampling”, in ASA Summer Conference (unpublished).

2. R.A. Dandekar, M. Cohen and N. Kirkendall, “Applicability of Latin hypercube sampling technique to create multivariate synthetic microdata”, in Proc. of ETKNTTS 2001. Luxembourg: Eurostat, pp. 839–847, 2001.

3. D. Defays and P. Nanopoulos, “Panels of enterprises and confidentiality: The small aggregates method”, in Proc. of 92 Symposium on Design and Analysis of Longitudinal Surveys. Ottawa: Statistics Canada, 195–204, 1993.

4. J. Domingo-Ferrer, J.M. Mateo-Sanz, and V. Torra, “Comparing SDC methods for microdata on the basis of information loss and disclosure risk”, Proc. of ETKNTTS 2001. Luxemburg: Eurostat, pp. 807–825, 2001.

5. J. Domingo-Ferrer and V. Torra, “A quantitative comparison of disclosure control methods for microdata”, in Confidentiality, Disclosure and Data Access, eds. P. Doyle, J. Lane, J. Theeuwes and L. Zayatz. Amsterdam: North-Holland, pp. 111–133, 2001.

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Survey on Privacy-Preserving Techniques for Microdata Publication;ACM Computing Surveys;2023-07-17

2. Selecting Privacy Enhancing Technologies for IoT-Based Services;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2020

3. A Non-Parametric Model for Accurate and Provably Private Synthetic Data Sets;Proceedings of the 12th International Conference on Availability, Reliability and Security;2017-08-29

4. Enhancing data utility in differential privacy via microaggregation-based $$k$$ k -anonymity;The VLDB Journal;2014-02-13

5. Synthetic Sequence Generator for Recommender Systems – Memory Biased Random Walk on a Sequence Multilayer Network;Discovery Science;2014

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3