On efficient and robust anonymization for privacy protection on massive streaming categorical information
Article
Article Title | On efficient and robust anonymization for privacy protection on massive streaming categorical information |
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ERA Journal ID | 32040 |
Article Category | Article |
Authors | Zhang, Ji (Author), Li, Hongzhou (Author), Liu, Xuemei (Author), Luo, Yonglong (Author), Chen, Fulong (Author), Wang, Hua (Author) and Chang, Liang (Author) |
Journal Title | IEEE Transactions on Dependable and Secure Computing |
Journal Citation | 14 (5), pp. 507-520 |
Number of Pages | 14 |
Year | 2017 |
Place of Publication | United States |
ISSN | 1545-5971 |
1941-0018 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/TDSC.2015.2483503 |
Web Address (URL) | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7283553 |
Abstract | Protecting users’ privacy when transmitting a large amount of data over the Internet is becoming increasingly important |
Keywords | privacy protection, anonymization, categorical information |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Institution of Origin | University of Southern Queensland |
Byline Affiliations | Zhejiang Lab, China |
Guilin University of Electronic Technology, China | |
School of Agricultural, Computational and Environmental Sciences | |
Anhui Normal University, China | |
Victoria University |
https://research.usq.edu.au/item/q329x/on-efficient-and-robust-anonymization-for-privacy-protection-on-massive-streaming-categorical-information
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