演讲人: Prof. Xiaobai Li

讲座时间: 2011年12月9日上午9:00-12:00

讲座地点: 信息楼二层会议室

讲座内容: 讲座题目：Data Clustering and Micro-Perturbation For Privacy-Preserving Data Sharing and Analysis 讲座内容：

Clustering-based data masking approaches are widely used for privacy-preserving data sharing and data mining. Existing approaches, however, cannot cope with the situation where confidential attributes are categorical. For numeric data, these approaches are also unable to preserve important statistical properties such as variance and covariance of the data. We propose a new approach that handles these problems effectively. The proposed approach adopts a minimum spanning tree technique for clustering data and a micro-perturbation method for masking data. Our approach is novel in that it (i) incorporates an entropy-based measure, which represents the disclosure risk of the categorical confidential attribute, into the traditional distance measure used for clustering in an innovative way; and (ii) introduces the notion of cluster-level micro-perturbation (as opposed to conventional micro-aggregation) for masking data, to preserve the statistical properties of the data. We provide both analytical and empirical justification for the proposed methodology.

Dr. Li is a professor of Information Systems in the Department of Operations and Information Systems at the University of Massachusetts Lowell, USA. He received his Ph.D. in management science from the University of South Carolina, USA, in 1999. His research focuses on data mining, information privacy, and information economics. His work has appeared in Information Systems Research, Operations Research, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Automatic Control, Communications of the ACM, Decision Support Systems, INFORMS Journal on Computing, European Journal of Operational Research, among others. He has received funding for his research from National Institute of Health (NIH) and National Science Foundation (NSF), USA. 主办单位：ダファベット 入金不要、人事处联合举办