An Efficient Anonymous System for Transaction Data-Reference-Cited by-同舟云学术

An Efficient Anonymous System for Transaction Data

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, Data Science 2016 - MISNC, SI, DS 2016
language:
Short-container-title:

Author:

Lin Jerry Chun-Wei¹,Liu Qiankun¹,Fournier-Viger Philippe²,Hong Tzung-Pei³,Zhan Justin⁴,Voznak Miroslav⁵

Affiliation:

1. School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China

2. School of Natural Sciences and Humanities, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China

3. Dept. of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan, Dept. of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

4. Department of Computer Science, University of Nevada, Las Vegas, USA

5. Department of Telecommunications, VSB-Technical University of Ostrava, Czech Republic

Funder

National Natural Science Foundation of China

Publisher

ACM Press

Reference27 articles.

1. Frequent itemset mining dataset repository. 2012. http://fimi.ua.ac.be/data.

2. O. Abul, F. Bonchi, and M. Nanni. Anonymization of moving objects databases by clustering and perturbation. Information Systems, 35(8):884--910, 2010.

3. R. Agrawal and R. Srikant. Quest synthetic data generator. IBM Almaden Research Center, 1994. http://www.Almaden.ibm.com/cs/quest/syndata.html.

4. K. Doka, M. Xue, D. Tsoumakos, and P. Karras. k-anonymization by freeform generalization. ACM Symposium on Information, Computer and Communications Security, pages 519--530, 2015.

5. G. Ghinita, P. Kalnis, and Y. Tao. Anonymous publication of sensitive transactional data. IEEE Transactions on Knowledge and Data Engineering, 23(2):161--174, 2011.