A relative privacy model for effective privacy preservation in transactional data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A relative privacy model for effective privacy preservation in transactional data

Published:2018-09-19 Issue:23 Volume:31 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Bewong Michael¹^ORCID,Liu Jixue¹,Liu Lin¹,Li Jiuyong¹,Choo Kim‐Kwang Raymond¹²^ORCID

Affiliation:

1. School of Information Technology and Mathematical Sciences University of South Australia SA 5095 Australia

2. Department of Info Systems and Cyber Security University of Texas at San Antonio San Antonio Texas

Funder

Australian Research Council

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.4923

Reference37 articles.

1. Anonymization of set-valued data via top-down, local generalization

2. XuY WangK FuAW‐C YuPS.Anonymizing transaction databases for publication. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD);2008;Las Vegas NV.

3. ÁcsG AcharaJP CastellucciaC.Probabilistic km‐anonymity efficient anonymization of large set‐valued datasets. In: Proceedings of the 2015 IEEE International Conference on Big Data (Big Data);2015;Santa Clara CA.

4. ρ-uncertainty

5. Personalized Privacy Protection for Transactional Data

Cited by 6 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. A New Approach for Anonymizing Transaction Data with Set Values;Electronics;2023-07-12

2. ( k , m , t )‐anonymity: Enhanced privacy for transactional data;Concurrency and Computation: Practice and Experience;2022-04-10

3. A Novel Privacy Paradigm for Improving Serial Data Privacy;Sensors;2022-04-06

4. Transactional Data Anonymization for Privacy and Information Preservation via Disassociation and Local Suppression;Symmetry;2022-02-25

5. Improved privacy preserving method for periodical SRS publishing;PLOS ONE;2021-04-22

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