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Enabling Secure and Effective Spatial Query Processing on the Cloud using Forward Spatial Transformation

V. Swathi, D. Saidulu, B. Chandrakala

Assistant Professor, Department of Computer Science and Engineering, Guru Nanak Institutions Technical Campus-Hyderabad, India.
:10.22362/ijcert/2017/v4/i7/xxxx [UNDER PROCESS]

Data outsourcing is a common cloud computing model that allows data owners to takings advantage of its on-demand storage and computational resources. The main challenge is maintaining data confidentiality regarding intruders. Presented methodologies either conciliation the undisclosed of the data or undergo from high communication cost between the server and the user. To overcome this problem, we suggest a dual transformation and encryption scheme for spatial data, where encrypted queries are executed entirely by the service provider on the encrypted database, and encrypted results are returned to the user.The user issues encrypted spatial range queries to the service provider and then use the encryption key to decrypt the query response returned which establishments a balance between the security of data and efficient query response as the queries be processed on encrypted data at the cloud server finally our proposed method moderates the unique query communication cost between the authorized user and service provider.

V. Swathi, D. Saidulu, B. Chandrakala. (2017).Enabling Secure and Effective Spatial Query Processing on the Cloud using Forward Spatial Transformation. International Journal of Computer Engineering In Research Trends, 4(7), 301-307. Retrieved from

Keywords : Data Encryption, Forward Spatial Transformation, Security, Query Processing, Database Outsourcing, Spatial Databases.

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