scholarly journals Cloud Secure Distributed Storage Deduplication Scheme for Encrypted Data

Author(s):  
N Indira ◽  
S . Rukmani Devi
2020 ◽  
Vol 17 (8) ◽  
pp. 3631-3635
Author(s):  
L. Mary Gladence ◽  
Priyanka Reddy ◽  
Apoorva Shetty ◽  
E. Brumancia ◽  
Senduru Srinivasulu

Data deduplication is one of the main techniques for copying recovery data duplicates and was widely used in distributed storage to minimize extra space and spare data transfer capacity. It was proposed that the simultaneous encryption method encode the data before re-appropriating to preserve the confidentiality of delicate data while facilitating de replication. Unlike conventional de duplication systems, consumers are therefore viewed as having differential advantages as indupli-cate tests other than the data itself. Security analysis shows that our approach is safe in terms of the values set out in the proposed security model. For this deduplication M3 encryption algorithm and DES algorithm are used. M3 encryption is to compare another with the latest technology, for more effective, security purposes, fast actions and. The second DES encryption that was used to open the file and decrypt understandable language for humans in a secure language. A model of our current accepted copy check program is revised as proof of concept by the current research and explicitly shows the tests using our model. The proposed research shows that when opposed to conventional operations, our proposed duplicate test plot creates marginal overhead.


2012 ◽  
Vol 35 (11) ◽  
pp. 2215 ◽  
Author(s):  
Fang-Quan CHENG ◽  
Zhi-Yong PENG ◽  
Wei SONG ◽  
Shu-Lin WANG ◽  
Yi-Hui CUI

2010 ◽  
Vol 30 (4) ◽  
pp. 1099-1102
Author(s):  
Yu-yi KE ◽  
Shi-xiong XIA ◽  
Chu-jiao WANG

2019 ◽  
Vol 13 (4) ◽  
pp. 356-363
Author(s):  
Yuezhong Wu ◽  
Wei Chen ◽  
Shuhong Chen ◽  
Guojun Wang ◽  
Changyun Li

Background: Cloud storage is generally used to provide on-demand services with sufficient scalability in an efficient network environment, and various encryption algorithms are typically applied to protect the data in the cloud. However, it is non-trivial to obtain the original data after encryption and efficient methods are needed to access the original data. Methods: In this paper, we propose a new user-controlled and efficient encrypted data sharing model in cloud storage. It preprocesses user data to ensure the confidentiality and integrity based on triple encryption scheme of CP-ABE ciphertext access control mechanism and integrity verification. Moreover, it adopts secondary screening program to achieve efficient ciphertext retrieval by using distributed Lucene technology and fine-grained decision tree. In this way, when a trustworthy third party is introduced, the security and reliability of data sharing can be guaranteed. To provide data security and efficient retrieval, we also combine active user with active system. Results: Experimental results show that the proposed model can ensure data security in cloud storage services platform as well as enhance the operational performance of data sharing. Conclusion: The proposed security sharing mechanism works well in an actual cloud storage environment.


Author(s):  
Yih-Farn Chen ◽  
Scott Daniels ◽  
Marios Hadjieleftheriou ◽  
Pingkai Liu ◽  
Chao Tian ◽  
...  

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