An Effective Design for Secure Data Storage and Access Model for Temporal Cloud Databases

Abstract

Cloud databases are responsible for services for large scale data storage and retrieval of disseminated data. Though, the existing access control methods provided in database systems for preserving security are not satisfactory to secure the sensitive data stored in public cloud databases. In this paper, a novel protected data storage algorithm for genuine privacy preservation of personal data is proposed. To achieve storage and retrieval setups of data in the cloud data storage effectively, Cloud Map-reduce algorithms are developed in this work which performs data reduction and fast processing. In order to consider the temporal nature of documents to be retrieved, I propose a novel algorithm called Spatiotemporal Secured Cloud Map Reduced Algorithm which integrates temporal constraints with map reduce algorithms which are proposed newly in this work. The proposed algorithm leads reduce the processing time and preserve security effectively.