Data Integrity Verification Technology Research And Implementation Of Range Query In Location-based Service

In cloud computing,a data owner outsources a huge dataset to cloud servers for saving storage cost and computation cost,and authorizes many clients to retrieve data of interest anytime and anywhere.Data outsourcing is helpful to lessen the burden on local data storage and also to improve quality of services.However,the cloud service provider(CSP)outside the data owner's trusted domain may return wrong query results to the client deliberately or inadvertently.Therefore,query authentication and query correction are of crucial importance to achieve reliable cloud services.In this paper,we consider location-based-services environment commonly used today.Specifically,we propose a two-phase query(TPQ)protocol to support efficient authentication and correction of multi-dimensional range queries only use low communication overhead.By ingeniously integrating signature chain with Reed Solomon codes,our proposed protocol allows a client to efficiently verify the correctness of query results while performing error correction in an adaptive way.Extensive experiments on a real dataset demonstrate effectiveness of our proposed protocol.