The week's pick
Reseach Article
Data Leakage Optimization in Multi-cloud Storage Services
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 16 |
| Year of Publication: 2020 |
| Authors: Krishna Vitthal Nil |
10.5120/ijca2020920668
|
Krishna Vitthal Nil . Data Leakage Optimization in Multi-cloud Storage Services. International Journal of Computer Applications. 175, 16 ( Sep 2020), 43-47. DOI=10.5120/ijca2020920668
Abstract
Now a days the use of cloud computing has increased speedily in many organizations. Cloud computing provides many advantages in terms of easy accessibly of data and also low cost. Data security is a major factor in cloud computing, as cloud users often store sensitive information in provided cloud storage providers. Recently the use of a single cloud is reduced because, the risks of service availability failure and the possibility of malicious insiders in the single cloud. So, many organizations preferred storing data on multiple clouds. Multi-Cloud Storage suggests to use the different distributed storage services. It is distributing information over different cloud storage providers and also it automatically provides a certain degree of data leakage control. But due to a large amount of data and unstructured distribution of information chunks can lead to high information disclosure even though using multiple clouds. It studies about the important data leakage problem caused by unstructured and less secure data distribution in mutlicloud storage services. To optimize the data leakage, it utilizes StoreSim, which data leakage aware storage system in the mutlicloud. StoreSim achieves this goal by using novel algorithms, SHA-1 algorithm efficiently generated signatures for data chunks and this signature computes the data leakages. Next, AES Algorithm is an effective data encrypted algorithm which reduce the attackability of sensitive data and also minimal data leakages across multiple clouds. The final analysis of proposed system are, reduces the risk of wholesale data leakage and also control data leakages.
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