Secure Collaborative Privacy In Cloud Data With Advanced Symmetric Key Block Algorithm
|International Journal of Computer Science and Engineering|
|© 2015 by SSRG - IJCSE Journal|
|Volume 2 Issue 2|
|Year of Publication : 2015|
|Authors : Twinkle Graf.F, Mrs.Prema.P|
How to Cite?
Twinkle Graf.F, Mrs.Prema.P, "Secure Collaborative Privacy In Cloud Data With Advanced Symmetric Key Block Algorithm," SSRG International Journal of Computer Science and Engineering , vol. 2, no. 2, pp. 40-44, 2015. Crossref, https://doi.org/10.14445/23488387/IJCSE-V2I2P109
Developments in cloud computing has led uploading large amount of data in the cloud. Many users can be facilitated through this. But in such cases security issues are more vulnerable. Clients can download data from cloud and reuse them for their research purposes. They can collaborate actively online for learning purposes. When the data is arbitrarily partitioned between two parties, both parties want to grab the data but they do not want that the other party should learn anything about their own data. The final weights are learned by the parties. There lacks a solution that allows two or more parties, to collaboratively conduct the updation. In our proposed approach, the parties encrypt their arbitrarily partitioned data and upload the cipher texts to the cloud .The cloud can execute most operations pertaining with the symmetric key block algorithm implemented in proposed scheme. Each updation is independent to the number of parties that is multiparty collaboration can be performed. Access to stored information on computer databases has increased greatly. So the main idea of our proposed scheme is to implement a privacy preserving algorithm for the cloud database.
Symmetric blocks, Trust Agent, Cloud Service provider, Cipher blocks.
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