Information Privacy and Security in Data Mining

Abstract

Abstract

The improving popularity and growing of data mining technologies bring very serious effect to the security of individual's sensitive information. In the recent years, the privacy preserving data mining (PPDM), has been extensively studied and it is an emerging research subject in data mining. Without accommodating the security of sensitive information contained in the data, the basic idea of PPDM is to implement the data in such a manner so as to execute data mining algorithms effectively. While in fact, data collecting, data publishing, and information delivering happen only in the process of unwanted disclosure of sensitive information. Here, the privacy issues equal to the data mining from a wider perspective and investigate many different approaches which can help to save or protect the sensitive information. In data mining, there are four different types of users involved, namely data provider, data collector, data miner and decision maker. The four types of users, which discuss user privacy and concerns the methods that can adopted to protect sensitive information. The basics of parallel research topics, evaluate state-of-the-art approaches existing, some preliminary thoughts on upcoming research directions are introduced briefly here. Each type of user exploring the privacy-preserving approaches; and also find the game theoretical approaches. In data mining scenario, the approaches are proposed for analyzing the interaction among different users, each of information is based on the valuation on the sensitive information. Sensitive information are, differentiating the responsibilities of different users with respect to security, this would provide some of useful insights into the study of PPDM.

Keywords: Data mining, privacy preserving data mining (PPDM), sensitive information, state-of-the-art approaches

Cite this Article

Likhitha AR, Vandana BS, Savitha CK, et al. Information Privacy and Security in Data Mining. Journal of Advanced Database Management & Systems. 2016; 3(3): 30–44p.