MR-OVnTSA: a heuristics based sensitive pattern hiding approach for big data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-01749-6.pdf
Reference50 articles.
1. Verykios VS, Gkoulalas-Divanis A (2008) A survey of association rule hiding methods for privacy. In: Privacy-preserving data mining, pp 267–289
2. Tsai Y-C, Wang S-L, Song C-Y, Ting I (2016) Privacy and utility effects of k-anonymity on association rule hiding. In: Proceedings of the the 3rd multidisciplinary international social networks conference on social informatics, data science 2016, p 42
3. Jin Y, Su C, Ruan N, Jia W (2016) Privacy-preserving mining of association rules for horizontally distributed databases based on FP-tree. In: International conference on information security practice and experience, pp 300–314
4. Aggarwal CC, Yu PS (2008) A general survey of privacy-preserving data mining models and algorithms, privacy-preserving data mining: models and algorithms. Springer, Boston, pp 11–52
5. Telikani A, Shahbahrami A (2018) Data sanitization in association rulemining: an analytical review. Expert Syst Appl 96:406– 426
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. Securing Sensitive Medical Information with Basic and Pre-large Coati Optimization Algorithm for E-Health System Data Sanitation;Wireless Personal Communications;2024-05
2. SMASK: Parallel Probabilistic Privacy-Preserving Frequent Pattern Mining Technique for Big Data;Communications in Computer and Information Science;2024
3. Efficient algorithms for victim item selection in privacy-preserving utility mining;Future Generation Computer Systems;2022-03
4. High-performance implementation of evolutionary privacy-preserving algorithm for big data using GPU platform;Information Sciences;2021-11
5. Enhancement of an Optimized Key for Database Sanitization to Ensure the Security and Privacy of an Autism Dataset;Symmetry;2021-10-11
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