THE RESEARCH OF BIG DATA ANALYTICS OF PRIVACY PRESERVATION IN UBIQUITOUS ENVIRONMENT

Abstract

Big data analytics has created opportunities for researchers to process huge amount of data but created a big threat to privacy of individual. Data processed by big data analytics platforms may have personal information, which needs to be taken care of when deriving some useful results for research. Existing privacy preserving techniques like, anonymization requires having dataset divided in the set of attributes like, sensitive attributes, quasi identifiers, and non - sensitive attributes. With the organized data, it may possible to have such a distribution but in unstructured data, it is very difficult to identify sensitive attributes and quasi identifiers. The development of the Data Science, Sets off the third waves of the world information industry. The data mining technology plays a vital role in the development and promotion of Data Science and ubiquitous environment, but it causes leakage problem of privacy information at the same time. In the light of the data mining association rules and randomized response method. We propose a new method, suppressible randomized response method (SRRM), and introduce the data mining algorithm of privacy protection based on SRR. Finally, this paper evaluates the privacy of the method.