Fuzzy Set based Data Publishing For Privacy Preservation

被引：0
作者：
Xie, Meng-bo
Qian, Quan [1 ]
机构：
[1] Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200444, Peoples R China
来源：
2016 17TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD) | 2016年
关键词：
privacy preservation; fuzzy sets; k-anonymity;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
K-anonymity and its successors, like 1-diversity and t-closeness, are the most popular approaches for privacy preserving data publishing. However, each method has relatively high information loss and computational complexity. In order to solve this problem, this paper presents a fuzzy set based anonymity algorithm, where numerical data are transformed to linguistic data and sensitive data are published in conjunction with fuzzy draft rate. The experimental results show that the fuzzy based algorithm performs better than that of the k anonymity method from the points of information loss and execution performance. The information loss of the fuzzy based algorithm has been reduced by 40%similar to 50% and the execution time reduced by 48%similar to 59%.
引用
收藏
页码：569 / 574
页数：6
相关论文
共 50 条
[41]   Effective privacy preserving data publishing by vectorization [J].
Eom, Chris Soo-Hyun ;
Lee, Charles Cheolgi ;
Lee, Wookey ;
Leung, Carson K. .
INFORMATION SCIENCES, 2020, 527 :311-328
[42]   Research on Privacy Protection Technology for Data Publishing [J].
Qu, Lianwei ;
Yang, Jing ;
Yan, Xueyun ;
Ma, Lixin ;
Yang, Qixuan ;
Han, Yaxin .
2021 21ST INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY COMPANION (QRS-C 2021), 2021, :999-1005
[43]   Privacy-Aware Location Data Publishing [J].
Hu, Haibo ;
Xu, Jianliang ;
On, Sai Tung ;
Du, Jing ;
Ng, Joseph Kee-Yin .
ACM TRANSACTIONS ON DATABASE SYSTEMS, 2010, 35 (03)
[44]   Privacy Preservation in Streaming Data Collection [J].
Ng, Wee Siong ;
Wu, Huayu ;
Wu, Wei ;
Xiang, Shili ;
Tan, Kian-Lee .
PROCEEDINGS OF THE 2012 IEEE 18TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS 2012), 2012, :810-815
[45]   Cooperative privacy game: a novel strategy for preserving privacy in data publishing [J].
Kumari, Valli ;
Chakravarthy, Srinivasa .
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 2016, 6
[46]   Utility-Friendly Heterogenous Generalization in Privacy Preserving Data Publishing [J].
He, Xianmang ;
Li, Dong ;
Hao, Yanni ;
Chen, Huahui .
CONCEPTUAL MODELING, 2014, 8824 :186-194
[47]   GAN-based Differential Privacy Trajectory Data Publishing with Sensitive Label [J].
Yao, Lin ;
Zhang, Yu ;
Zheng, Zhaolong ;
Wu, Guowei .
2022 8TH INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING AND COMMUNICATIONS, BIGCOM, 2022, :112-119
[48]   Stipulation-Based Anonymization with Sensitivity Flags for Privacy Preserving Data Publishing [J].
Ashoka, K. ;
Poornima, B. .
RECENT FINDINGS IN INTELLIGENT COMPUTING TECHNIQUES, VOL 1, 2019, 707 :445-454
[49]   A Differential Privacy Based (k-ψ)-Anonymity Method for Trajectory Data Publishing [J].
Chen, Hongyu ;
Li, Shuyu ;
Zhang, Zhaosheng .
CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 65 (03) :2665-2685
[50]   GN: A Privacy Preserving Data Publishing Method Based on Generalization and Noise Techniques [J].
Ma, Yeling ;
Wang, Jiyi ;
Han, Jianmin ;
Wang, Lixia .
2013 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC), 2013, :219-224
12345