Cloud Based Privacy Preserving Dynamic Intermediate Datasets
1V.Sarala*, Department of computer science,Meenakshi college of Engineering,Chennai, India.
2Dr. P.Shanmugapriya, Department of Computer science,SCSVMV University,Kanchipuram,India.
Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 2141-2143 | Volume-9 Issue-4, April 2020. | Retrieval Number: D8380049420/2020©BEIESP | DOI: 10.35940/ijeat.D8380.049420
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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: Design an encryption of privacy preserving and scheduling of intermediate datasets in cloud. Implemenation of encryption is done as follows: Identification of intermediate datasets that needs to be encrypted. Based on frequent pattern mining the least frequent intermediate datasets are encrypted. Perform column level encryption to the sensitive information. Predicting the data based on inference analysis would not be possible. So that the data will be secure when compared to the existing system.
Keywords: Automatic scheduling, Intermediate datasets, Privacy preserving