Privacy Preservation in Streaming Data Collection
Privacy Preservation in Streaming Data Collection
复制标题
流数据收集中的隐私保护
DOI：
10.1109/icpads.2012.132
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
K. Tan
中科院分区：
文献类型：
--
作者：
W. Ng;Huayu Wu;Wei Wu;Shili Xiang;K. Tan
Big data management and analysis has become a hot topic in academic and industrial research. In fact, a large portion of big data in service today are initially streaming data. To preserve the privacy of such data that are collected from data streams, the most efficient way is to control the process of data collection according to corresponding privacy polices. In this paper, we design a framework to support data stream management with privacy-preserving capabilities. In particular, we focus on two premier principles of data privacy, limited disclosure and limited collection. With these two principles guaranteed, the archived data will not necessarily be checked for privacy protection, before analysis and other operations can be done.
