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Security and Communication Networks
Volume 2017 (2017), Article ID 9532163, 10 pages
https://doi.org/10.1155/2017/9532163
Research Article

Practical --Anonymization for Collaborative Data Publishing without Trusted Third Party

1State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China
2Department of Computer Science and Technology, Nanjing University, Nanjing 210023, China
3Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX 78249-0631, USA
4School of Cyberspace, Hangzhou Dianzi University, Hangzhou 310018, China
5Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, China, Hangzhou Dianzi University, Hangzhou 310018, China

Correspondence should be addressed to Hong Ding and Yizhi Ren

Received 6 October 2016; Revised 9 February 2017; Accepted 27 February 2017; Published 16 March 2017

Academic Editor: Willy Susilo

Copyright © 2017 Jingyu Hua et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Jingyu Hua, An Tang, Qingyun Pan, Kim-Kwang Raymond Choo, Hong Ding, and Yizhi Ren, “Practical --Anonymization for Collaborative Data Publishing without Trusted Third Party,” Security and Communication Networks, vol. 2017, Article ID 9532163, 10 pages, 2017. doi:10.1155/2017/9532163