Improving Data Spillage in Multi Cloud Capacity Administrations
M. Gowthami1, S. Thanga Ramya2
1M. Gowthami, Assistant Professor, Department of Computer Science and Engineering, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai (Tamil Nadu), India.
2Dr. S. Thanga Ramya, Associate Professor, Department of Computer Science and Engineering, RMD Engineering College, Chennai (Tamil Nadu), India.
Manuscript received on 22 November 2019 | Revised Manuscript received on 03 December 2019 | Manuscript Published on 14 December 2019 | PP: 63-66 | Volume-9 Issue-1S November 2019 | Retrieval Number: A10151191S19/2019©BEIESP | DOI: 10.35940/ijitee.A1015.1191S19
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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: Multi copy Dynamic information possession in distributed computing be able to to put missing information in dynamic methodology to the cloud server. Multi copy means, information to be imitated in different servers. The undertaking proprietor transfers the information into cloud server and the information is duplicated, then that photocopies are place away in several servers. The information is stored in multiple servers in order to avoid data loss due to vulnerabilities like hacking or server crash. We presented a new strategy that is, Fully Homo morphic Encryption (FHE) algorithm for taking multiple copies of information. The FHE algorithm is used to enhance security to the information stored in the servers. When the data proprietor uploads the file, the FHE algorithm splits the file and takes multiple copies of the file. These copies are zipped in order to decrease memory size and are stored in multiple servers. The stored files are encrypted to provide maximum security. The FHE algorithm provides keygen, copygen and taggen, using these keys the data can be decrypted and retrieved.
Keywords: Multicloud Storage, Information Leakage, System Attackability, Remote Synchronization, Distribution and Optimization.
Scope of the Article: Data Warehousing