Privacy Preserving Redundant Data Removal in Cloud Storage: RDRC
Srinivas Mudepalli1, V. Srinivasa Rao2, R. Kiran Kumar3
1Srinivas Mudepalli, Research Scholar, Department of CSE, Krishna University, Machilipatnam (Andhra Pradesh), India.
2Dr. V. Srinivasa Rao, Professor, Department of CSE, V. R. Siddhartha Engineering College, Vijayawada (Andhra Pradesh), India.
3Dr. R. Kiran Kumar, Assistant Professor, Department of CSE, Krishna University, Machilipatnam (Andhra Pradesh), India.
Manuscript received on 26 February 2019 | Revised Manuscript received on 13 March 2019 | Manuscript Published on 17 March 2019 | PP: 31-34 | Volume-7 Issue-ICETESM18, March 2019 | Retrieval Number: ICETESM09|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: With rapid increase and enlargement of the cloud storage technology, the users transmitting their data in the cloud storage. By uploading these data there are some issues in cloud storage, for example duplicate data, security problems, availability and vendor lock problem. To overcome these issues, we propose a redundant data removal in cloud storage: RDRC in this paper. RDRC is used to reduce the redundant data in cloud computing using the method data de-duplication and distributing the data among the cloud storage provider by data reference characteristics. To better utilize and overcome the security issue the data is encrypt with the blowfish algorithm. The performance and implementation is showing that the proposed methodology RDRC increases the performance and cost efficiency with existing schemes.
Keywords: Blow Fish Algorithm, Cloud Computing, Data Duplication, Data Consistency, Elliptic Curve Key.
Scope of the Article: Data Visualization