A privacy preservation algorithm for data streams based on clustering
Zhang Qi-sha · Fuzhou daxue xuebao. Ziran kexue ban · 2014
Data streams have the features of potential infinity,fast flowing and frequent variation,which makes the privacy preservation of data streams a great challenge. The conceptions of data stream anonymization and the analysis of the existing algorithms for data stream anonymization are provided. The ideal of anonymizing data stream through clustering and the algorithm implementation are proposed. The experiments conducted on the real data set demonstrate the new method can reduce the information loss caused by generalization and suppression while satisfying the anonymization requirements.