Approved for 1 CompTIA CEU: A+, Network+, Security+, Cloud+, CySA+, and CASP; 1 GIAC CPE.
In the age of big data, data mining and data analytics have been increasingly adopted as a primary driver of data-driven decision-making in many organizations, and this trend is likely to grow in the future. However, the growing popularity of data mining technologies brings serious threats to securing sensitive information used by data mining. This talk will cover privacy-preserving data mining, an emerging research topic in data mining, whose basic idea is to modify the data in such a way so as to perform data mining algoriths effectively without compromising the security of sensitive information contained in the data. The talk will identify four different types of users involved in data mining applications, namely; data provider, data collector, data miner, and decision maker and will discuss the privacy concerns and methods used to protect sensitive information for each of these types of users. By differentiating the responsibilities of different users with respect to security of sensitive information, the talk will provide some useful insights into recent research and future directions of data privacy and security issues in data mining applications.