FAST

Abstract

This paper proposes an anonymization algorithm (FAST) to speed up anonymization of big data streams. The proposed parallel algorithm provides an efficient big data anonymization by a multithread technique. A proactive time-expiration heuristic is applied to publish data before they are being expired. Our simulation results indicate significant improvement in big data stream anonymization in terms of information loss and cost metric.