A Hybrid Cloud Approach for Deduplication with Attribute-Based Encryption
Supriya Kalkote1, Jibi Abraham2
1Supriya Kalkote, Department of Computer Engineering, College of Engineering, Pune, India.
2Jibi Abraham, Department of Computer Engineering, College of Engineering, Pune, India.
Manuscript received on 17 May 2019 | Revised Manuscript received on 24 May 2019 | Manuscript Published on 02 June 2019 | PP: 651-654 | Volume-8 Issue-7S2 May 2019 | Retrieval Number: G11110587S219/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Data deduplication is a special type of data compression technique to eliminate duplicate copies of iterating data in storage which saves storage space and bandwidth. In traditional deduplication system, hybrid cloud is introduced for implementing authorized deduplication. As public cloud cannot be fully trusted, the data is protected by Convergent Encryption. Only the user having a hash of the data can decrypt data from the cloud in a traditional system. In this paper, we present a deduplication scheme combined with Attribute-Based Encryption. In this technique, the data from the server can be accessed by the legitimate users if out of n, any k attributes related to the data are correct. We provide an implementation of our system and give performance measurements of the traditional system with respect to our proposed system.
Keywords: Attribute-Based Encryption, Convergent Encryption, Deduplication.
Scope of the Article: Computer Network