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Hybrid Searchable Encryption Scheme for Data Security in Cloud

International Journal of Distributed and Cloud Computing

Volume 8 Issue 1&2

Published: 2020
Author(s) Name: Prachi Gupta | Author(s) Affiliation: M.Tech Student, Dept. of Computer Science & Application, Kurukshetra Univ., Kurukshetra, Haryana.
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Abstract

Cloud Computing is an emerging technology which provides on-demand services based on the pay-as-you-go model which reduces IT costs significantly. Cloud comes with many benefits such as Business continuity, Collaboration efficiency, scalability, resource sharing etc. But still, it constitutes several data security issues such as data confidentiality, integrity, authentication, privacy etc. Thus, to protect sensitive data, the document is encrypted at the data owner side before transmitting it to a cloud environment. Cryptography is necessary to provide data security. Although this overpowers the advantages of cloud computing, whenever data user wants to access a part of data it needs to decrypt the data before using. In this paper, a Hybrid Searchable Encryption Scheme is proposed which provide data security while supporting multi-keyword search over the encrypted data by using a Vector Space Model (VSM). Where sense embedding technique is used to create VSM for the document. To provide data confidentiality combination of AES and Blowfish encryption is used. Sha-3 and RSA are used for data integrity. Steganography is applied for secure transfer of keys and message digest. The experimental result shows that the proposed scheme achieves better data security by providing data confidentiality, integrity and authentication along with multi-keyword search at the client end.

Keywords: Cloud computing, Hybrid encryption, Searchable encryption, Sense embedding based search, Vector space model.

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