Application of Distributed Oblivious Transfer Protocol in Association Rule Mining
Xie Juan, Zhu Yanqin · 2010
The purpose of association rule mining is to reveal patterns of kinds of knowledge that are not easy to find. However, it may constitute a threat to privacy and information security, even more, seriously limit the development of the application of data mining, if we can not properly use this knowledge. In this paper, we introduce a concept of distributed oblivious transfer protocol, then propose and simulate a good safe and high efficient association rule mining algorithm with distributed oblivious transfer protocol. It can avoid the deficiencies caused by centralized data mining, and ensure that users can safely interactive statistical information but do not involve concrete privacy details, it also can be conveniently applied to business management and business decisions.