Clustering Based Efficient Privacy Preserving Multi Keyword Search Over Encrypted Data
Neha S. Mahajan, Vaishali M. Barkade · 2018
Cloud computing is more popular for storing information by using storing statistics. By storing data into the cloud save the economical funds and gives the great flexibility. Data safety is the most challenging for the researchers. Confidential information must be encoded before outsourcing the data. Hierarchical clustering method presented in this paper used to the privacy preserving powerful search over encoded cloud data. This search over outsourced information, security is considered as a user revocation approach. Another more important component of this framework is the data duplication and it checking using SHA1 hashing strategy. Strategy will not allow saving the replica data at cloud server. EM clustering uses for clustering process and compare the EM clustering algorithm with K-means clustering algorithm. Experimental results state that the framework has various advantages like time utilization, efficient, easy and statistics duplication checking.