Separating Indexes from Data:A Distributed Scheme for Secure Database Outsourcing

Database outsourcing is an idea to eliminate the burden of database management from organizations. since data is a critical asset of organizations, preserving its privacy from outside adversary and untrusted server should be warranted. in this paper, we present a distributed scheme based on storing shares of data on different servers and separating indexes from data on a distinct server. shamir's secret sharing scheme is used for distributing data to data share servers. a b+-tree index on the order preserved encrypted values for each searchable attribute is stored in the index server. to process a query the client receives responses including record numbers from the index server and asks these records from data share servers. the final result is computed by the client using data shares. while the proposed approach is secure against different database attacks, it supports exact match, range, aggregation, and pattern matching queries efficiently. simulation results show the prominence of our approach in comparison with the bucketing scheme as it imposes lower computation and communication costs on the client