Author : M.Parthiban 1
Date of Publication :13th March 2018
Abstract: In today’s data intensive world, cloud computing is new type of computing paradigm which enables sharing of computing resources over the internet. The cloud characteristics are on-demand self-service, location independent network access, ubiquitous network access and usage based pay. Due to this charming features private and public organization are outsourcing their large amount of data on cloud storage. Organizations are motivated to migrate their data from local site to central commercial public cloud server. By outsourcing data on cloud users gets relief from storage maintenance. Although there are many benefits to migrate data on cloud storage it brings many security problems. Therefore, the data owners hesitate to migrate the sensitive data. In this case the control of data is going towards cloud service provider. This security problem induces data owners to encrypt data at client side and outsource the data. By encrypting data improves the data security but the data efficiency is decreased because searching on encrypted data is difficult. The search techniques which are used on plain text cannot be used over encrypted data. The existing solutions supports only identical keyword search; semantic search is not supported. In the proposed work, semantic multi-keyword ranked search system with verifiable outsourced decryption. To improve search efficiency this system includes semantic search by using fuzzy search.
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