An Efficient Anonymous System for Transaction Data
Document Type
Conference Proceeding
Publication Date
8-1-2016
Publication Title
Proceedings of the 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016
Volume
2016
First page number:
28
Abstract
k-anonymity is an efficient way to anonymize the relational data to protect privacy against re-identification attacks. For the purpose of k-anonymity on transaction data, each item is considered as the quasi-identifier attribute, thus increasing high dimension problem as well as the computational complexity and information loss for anonymity. In this paper, an efficient anonymity system is designed to not only anonymize transaction data with lower information loss but also reduce the computational complexity for anonymity. An extensive experiment is carried to show the efficiency of the designed approach compared to the state-of-the-art algorithms for anonymity in terms of runtime and information loss. Experimental results indicate that the proposed anonymous system outperforms the compared algorithms in all respects.
Language
english
Repository Citation
Lin, J. C.,
Liu, Q.,
Fournier-Viger, P.,
Hong, T.,
Zhan, J.,
Voznak, M.
(2016).
An Efficient Anonymous System for Transaction Data.
Proceedings of the 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, 2016
28.
http://dx.doi.org/10.1145/2955129.2955136