Comprehensive Study of Privacy Preserving Techniques for Distributed Database

Data mining is one of the powerful data analysis tools that can find the potential models and rules in data. At the same time, data mining is directly on the original data set, which also produces the leakage of privacy. It has been a significant research subject that how to extract valuable knowledge in data and to preserve private or sensitive information in data mining process from leaking. So the main research direction of privacy preserving data mining is that how to protect private information or sensitive knowledge from leaking in the mining process, meanwhile obtain accurate results of data mining. This paper intends several privacy preserving techniques for distributed database and then proceeds to analyse the merits and demerits of these techniques.