Security Enhanced Model for Cloud Data Based on Dynamic Data Fragmentation and Replication (DDFR)
P. Peter Jose1, S.P.Victor2
1P. Peter Jose* Research Scholar Department of Computer Science, Bharathiar University, Coimbatore.
2Dr S.P.Victor, Associate Professor, Department of Computer Science, St. Xavier’s College (Autonomous), Palayamkotta.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 22, 2020. | Manuscript published on March 10, 2020. | PP: 766-671 | Volume-9 Issue-5, March 2020. | Retrieval Number: D2054029420/2020©BEIESP | DOI: 10.35940/ijitee.D2054.039520
Open Access | Ethics and Policies | Cite | Mendeley
© 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: Nowadays cloud computing is utilized in several IT capabilities like smart industry with IoTs, Mobile computing, etc., It is happen through outsourcing data to a third-party administrative control which is great application of cloud. But this leads to data leakage through attacks. A high level of data security is required on the data stored in cloud nodes. This paper enhances the security and data availability by dynamic fragmentation and replication process. The fragmentation is performed in runtime to create the fragments according to the available virtual machine. The replication aims to enhance the better load balance with less number of replicas. Bee colony algorithm is used for finding the best node in replication. The AES encryption approach is used for encrypting the fragments. This approach does not provides the original data if any attacks happened successfully.
Keywords: Cloud Computing, Data Fragmentation, Data Security, Replication, AES, Cryptography
Scope of the Article: Cloud Computing and Networking