BRBA: A Blocking-Based Association Rule Hiding Method

Authors

  • Peng Cheng Southwest University and Harbin Institute of Technology
  • Ivan Lee University of South Australia
  • Li Li Southwest University
  • Kuo-Kun Tseng Harbin Institute of Technology
  • Jeng-Shyang Pan Harbin Institute of Technology

DOI:

https://doi.org/10.1609/aaai.v30i1.9949

Keywords:

Association rule hiding, Blocking, Border rules

Abstract

Privacy preserving in association mining is an important research topic in the database security field. This paper has proposed a blocking-based method to solve the association rule hiding problem for data sharing. It aims at reducing undesirable side effects and increasing desirable side effects, while ensuring to conceal all sensitive rules. The candidate transactions are selected for sanitization based on their relations with border rules. Comparative experiments on real datasets demonstrate that the proposed method can achieve its goals.

AAAI 2016 Proceedings Cover

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Published

2016-03-05

How to Cite

Cheng, P., Lee, I., Li, L., Tseng, K.-K., & Pan, J.-S. (2016). BRBA: A Blocking-Based Association Rule Hiding Method. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9949

Issue

Vol. 30 No. 1 (2016): Thirtieth AAAI Conference on Artificial Intelligence

Section

Student Abstracts and Posters