Secure Content De-Duplication Utilizing Efficient Content Discovery and Preserving De-Duplication (Ecdpd)
D. Vimala1, S. Sangeetha2, B. Sundar Raj3
1D. Vimala, Department of CSE, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2S. Sangeetha, Department of CSE, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
3B. Sundar Raj, Department of CSE, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 11 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 26 December 2019 | PP: 986-990 | Volume-8 Issue-12S October 2019 | Retrieval Number: K127310812S19/2019©BEIESP | DOI: 10.35940/ijitee.K1273.10812S19
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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: Cloud computing, an efficient technology that utilizes huge amount of data file storage with security. However, the content owner does not controlling data access for unauthorized clients and does not control data storage and usage of data. Some previous approaches data access control to help data de-duplication concurrently for cloud storage system. Encrypted data for cloud storage is not effectively handled by current industrial de-duplication solutions. The deduplication is unguarded from brute-force attacks and fails in supporting control of data access .An efficient data confining technique that eliminates redundant data’s multiple copies which is commonly used is Data-Deduplication. It reduces the space needed to store these data and thus bandwidth is saved. An efficient content discovery and preserving De-duplication (ECDPD) algorithm that detects client file range and block range of de-duplication in storing data files in the cloud storage system was proposed to overpower the above problems. Data access control is supported by ECDPD actively. Based on Experimental evaluations, proposed ECDPD method reduces 3.802 milliseconds of DUT (Data Uploading Time) and 3.318 milliseconds of DDT (Data Downloading Time) compared than existing approaches.
Keywords: Efficient Content Discovery and Preserving De-duplication (ECDPD), De-duplication of Data, Data Uploading Time(DUT), Data Downloading Time(DDT).
Scope of the Article: Distributed Mobile Applications Utilizing IoT